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The changes are mostly limited to punctuation fixes, though some sentences were restructured for clarity. The files modified include: - documentation/porting.rst - documentation/sdc_overview.rst
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Copyright 2013 Pixar
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Licensed under the Apache License, Version 2.0 (the "Apache License")
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with the following modification; you may not use this file except in
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compliance with the Apache License and the following modification to it:
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Section 6. Trademarks. is deleted and replaced with:
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6. Trademarks. This License does not grant permission to use the trade
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names, trademarks, service marks, or product names of the Licensor
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and its affiliates, except as required to comply with Section 4(c) of
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the License and to reproduce the content of the NOTICE file.
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You may obtain a copy of the Apache License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the Apache License with the above modification is
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distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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KIND, either express or implied. See the Apache License for the specific
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language governing permissions and limitations under the Apache License.
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Sdc Overview
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------------
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.. contents::
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:local:
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:backlinks: none
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Subdivision Core (Sdc)
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======================
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Sdc is the lowest level layer in OpenSubdiv. Its intent is to separate
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the core subdivision details from any particular representation of a mesh
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(it was previously bound to Hbr) to facilitate the generation of consistent
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results with other mesh representations, both internal and external to
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OpenSubdiv.
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The functionality can be divided roughly into three sections:
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* types, traits and options for the supported subdivision schemes
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* computations required to support semi-sharp creasing
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* computations for mask weights of subdivided vertices for all schemes
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For most common usage, familiarity with only the first of these is necessary --
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primarily the use of public types and constants for the choice of subdivision
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scheme and its associated options. The latter two provide the basis for a
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more comprehensive implementation of subdivision, which requires considerably
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more understanding and effort.
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Overall, the approach was to extract the functionality at the lowest level
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possible. In some cases, the implementation is not far from being simple
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global functions. The intent was to start at a low level and build any higher
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level functionality as needed. What exists now is functional for ongoing
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development and anticipated needs within OpenSubdiv for the near future.
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The intent of Sdc is to provide the building blocks for OpenSubdiv and its
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clients to efficiently process the specific set of supported subdivision
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schemes. It is not intended to be a general framework for
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defining customized subdivision schemes.
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Types, Traits and Options
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=========================
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The most basic type is the enum *Sdc::SchemeType* that identifies the fixed set of
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subdivision schemes supported by OpenSubdiv: *Bilinear*, *Catmark* and *Loop*.
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With this alone, we intend to avoid all dynamic casting issues related to the
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scheme by simply adding members to the associated subclasses for inspection.
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In addition to the type enum itself, a class defining a fixed set of traits
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associated with each scheme is provided. While these traits are available as
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static methods in the interface of a class supporting more functionality for each
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scheme (to be described shortly), the *SchemeTypeTraits* provide queries of the
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traits for a variable of type *Sdc::SchemeType* -- enabling parameterization
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of code by the value of a trait without templates or virtual inheritance (a
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simple internal table of traits is constructed and trivially indexed).
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The second contribution is the collection of all variations in one place that can
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be applied to the subdivision schemes, i.e. the boundary interpolation rules,
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creasing method, edge subdivision choices, etc. The fact that these are all
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declared in one place alone should help clients see the full set of variations
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that are possible.
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A simple Options struct (a set of bitfields) aggregates all of these variations
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into a single object (the equivalent of an integer in this case) that are passed
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around to other Sdc classes and/or methods and are expected to be used at a higher
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level both within OpenSubdiv and externally. By aggregating the options and
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passing them around as a group, it allows us to extend the set easily in future
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without the need to rewire a lot of interfaces to accommodate the new choice.
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Clients can enable new choices at the highest level and be assured that they will
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propagate to the lowest level where they are relevant.
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Unlike other "options" structs used elsewhere to specify variations of a
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particular method, *Sdc::Options* defines all options that affect the shape of
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the underlying limit surface of a subdivision mesh. Other operations at higher
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levels in the library may have options that approximate the shape and so create
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a slightly different appearance, but *Sdc::Options* is a fundamental part of
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the definition of the true limit surface.
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Creasing support
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================
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Since the computations involved in the support of semi-sharp creasing are
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independent of the subdivision scheme, the goal in Sdc was to encapsulate all
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related creasing functionality in a similarly independent manner. Computations
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involving sharpness values are also much less dependent on topology -- there
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are vertices and edges with sharpness values, but knowledge of faces or boundary
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edges is not required, -- so the complexity of topological neighborhoods required
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for more scheme-specific functionality is arguably not necessary here.
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Creasing computations have been provided as methods defined on a Crease class
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that is constructed with a set of Options. Its methods typically take sharpness
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values as inputs and compute a corresponding set of sharpness values
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as a result. For the "Uniform" creasing method (previously known as *"Normal"*),
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the computations may be so trivial as to question whether such an interface is
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worth it, but for "Chaikin" or other schemes in the future that are non-trivial,
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the benefits should be clear. Functionality is divided between both uniform and
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non-uniform, so clients have some control over avoiding unnecessary overhead,
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e.g. non-uniform computations typically require neighboring sharpness values
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around a vertex, while uniform does not.
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Also included as part of the Crease class is the Rule enum -- this indicates if
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a vertex is Smooth, Crease, Dart or Corner (referred to as the "mask" in Hbr)
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and is a function of the sharpness values at and around a vertex. Knowing the
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Rule for a vertex can accelerate mask queries, and the Rule can often be
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inferred based on the origin of a vertex (e.g. it originated from the middle of
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a face, was the child of a Smooth vertex, etc.).
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Methods are defined for the Crease class to:
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* subdivide edge and vertex sharpness values
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* determine the Rule for a vertex based on incident sharpness values
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* determine the transitional weight between two sets of sharpness values
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Being all low-level and working directly on sharpness values, it is a client's
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responsibility to coordinate the application of any hierarchical crease edits
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with their computations.
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Similarly, in keeping with this as a low-level interface, values are passed as
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primitive arrays. This follows the trend in OpenSubdiv of dealing with data of
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various kinds (e.g. weights, component indices, now sharpness values, etc.) in
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small contiguous sets of values. In most internal cases we can refer to a set
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of values or gather what will typically be a small number of values on the stack
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for temporary use.
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Scheme-specific support
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=======================
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While the SchemeTypeTraits class provides traits for each subdivision scheme
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supported by OpenSubdiv (i.e. *Bilinear*, *Catmark* and *Loop*), the Scheme class
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provides these more directly, Additionally, the Scheme class provides methods
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for computing the various sets of weights used to compute new vertices resulting
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from subdivision. The collection of weights used to compute
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a single vertex at a new subdivision level is typically referred to as a
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*"mask"*. The primary purpose of the Scheme class is to provide such masks in a
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manner both general and efficient.
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Each subdivision scheme has its own values for its masks, and each are provided
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as specializations of the template class *Scheme<SchemeType TYPE>*. The intent is to
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minimize the amount of code specific to each scheme.
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The computation of mask weights for subdivided vertices is the most significant
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contribution of Sdc. The use of semi-sharp creasing with each
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non-linear subdivision scheme complicates what are otherwise simple
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masks determined solely by the topology, and packaging that functionality to
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achieve both the generality and efficiency desired has been a challenge.
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Mask queries are defined in the *Scheme* class template, which has
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specializations for each of the supported subdivision schemes. Mask queries
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are defined in terms of interfaces for two template parameters: the first
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defining the topological neighborhood of a vertex, and a second defining a
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container in which to gather the individual weights:
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.. code:: c++
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template <typename FACE, typename MASK>
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void ComputeFaceVertexMask(FACE const& faceNeighborhood, MASK& faceVertexMask, ...) const;
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Each mask query is expected to call methods defined for the **FACE**, **EDGE** or
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**VERTEX** classes to obtain the information they require ; typically these
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methods are simple queries about the topology and associated sharpness values.
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Clients are free to use their own mesh representations to gather the requested
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information as quickly as possible, or to cache some subset as member variables
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for immediate inline retrieval.
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In general, the set of weights for a subdivided vertex is dependent on the following:
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* the topology around the parent component from which the vertex originates
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* the type of subdivision *Rule* applicable to the parent component
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* the type of subdivision *Rule* applicable to the new child vertex
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* a transitional weight blending the effect between differing parent and child rules
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This seems fairly straight-forward, until we look at some of the dependencies involved:
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* the parent *Rule* requires the sharpness values at and around the parent component
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* the child *Rule* requires the subdivided sharpness values at and around the new
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child vertex (though it can sometimes be trivially inferred from the parent)
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* the transitional weight between differing rules requires all parent and child
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sharpness values
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Clearly the sharpness values are inspected multiple times and so it pays to have
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them available for retrieval. Computing them on an as-needed basis may be simple
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for uniform creasing, but a non-uniform creasing method requires traversing
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topological neighborhoods, and that in addition to the computation itself can be
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costly.
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The point here is that it is potentially unreasonable to expect to evaluate the
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mask weights completely independent of any other consideration. Expecting and
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encouraging the client to have subdivided sharpness values first, for use in more
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than one place, is therefore recommended.
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The complexity of the general case above is also unnecessary for most vertices.
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Any client using Sdc typically has more information about the nature of the vertex
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being subdivided and much of this can be avoided -- particularly for the smooth
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interior case that often dominates. More on that in the details of the Scheme classes.
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Given that most of the complexity has been moved into the template parameters for
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the mask queries, the Scheme class remains fairly simple. Like the Crease class,
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it is instantiated with a set of Options to avoid them cluttering the interface.
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It is currently little more than a few methods for the limit and refinement masks
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for each vertex type, plus the few fixed traits of the scheme as static methods.
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The mask queries have been written in a way that greatly simplifies the
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specializations required for each scheme. The generic implementation for both
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the edge-vertex and vertex-vertex masks take care of all of the creasing logic,
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requiring only a small set of specific masks to be assigned for each Scheme:
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smooth and crease masks for an edge-vertex, and smooth, crease and corner masks
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for a vertex-vertex. Other than the *Bilinear* case, which will specialize the
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mask queries to trivialize them for linear interpolation, the specializations
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for each *Scheme* should only require defining this set of masks -- and with
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two of them common (edge-vertex crease and vertex-vertex corner) the Catmark
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scheme only needs to define three.
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The <FACE>, <EDGE> and <VERTEX> interfaces
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******************************************
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Mask queries require an interface to a topological neighborhood, currently
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labeled **FACE**, **EDGE** and **VERTEX**. This naming potentially implies more
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generality than intended, as such classes are only expected to provide the
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methods required of the mask queries to compute its associated weights. While
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all methods must be defined, some may rarely be invoked, and the client has
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considerable flexibility in the implementation of these: they can defer some
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evaluations lazily until required, or be pro-active and cache information in
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member variables for immediate access.
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An approach discussed in the past has alluded to iterator classes that clients
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would write to traverse their meshes. The mask queries would then be parameterized
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in terms of a more general and generic mesh component that would make use of more
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general traversal iterators. The advantage here is the iterators are written once,
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then traversal is left to the query and only what is necessary is gathered. The
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disadvantages are that clients are forced to write these to do anything, getting
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them correct and efficient may not be trivial (or possible in some cases), and that
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the same data (e.g. subdivided sharpness) may be gathered or computed multiple
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times for different purposes.
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The other extreme was to gather everything possible required at once, but that is
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objectionable. The approach taken here provides a reasonable compromise between
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the two. The mask queries ask for exactly what they want, and the provided classes
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are expected to deliver it as efficiently as possible. In some cases the client
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may already be storing it in a more accessible form and general topological
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iteration can be avoided.
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The information requested of these classes in the three mask queries is as follows:
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For **FACE**:
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* the number of incident vertices
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For **EDGE**:
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* the number of incident faces
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* the sharpness value of the parent edge
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* the sharpness values of the two child edges
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* the number of vertices per incident face
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For **VERTEX**:
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* the number of incident faces
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* the number of incident edges
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* the sharpness value of the parent vertex
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* the sharpness values for each incident parent edge
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* the sharpness value of the child vertex
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* the sharpness values for each incident child edge
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The latter should not be surprising given the dependencies noted above. There
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are also a few more to consider for future use, e.g. whether the **EDGE** or
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**VERTEX** is manifold or not. In most cases, additional information can be
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provided to the mask queries (i.e. pre-determined Rules), and most of the child
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sharpness values are not necessary. The most demanding situation is a
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fractional crease that decays to zero -- in which case all parent and child
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sharpness values in the neighborhood are required to determine the proper
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transitional weight.
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The <MASK> interface
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********************
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Methods dealing with the collections of weights defining a mask are typically
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parameterized by a *MASK* template parameter that contains the weights. The set of
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mask weights is currently divided into vertex-weights, edge-weights and
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face-weights -- consistent with previous usage in OpenSubdiv and providing some
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useful correlation between the full set of weights and topology. The
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vertex-weights refer to parent vertices incident the parent component from which a
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vertex originated, the edge-weights the vertices opposite incident edges of the
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parent, and the face-weights the center of incident parent faces. Note the latter
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is **NOT** in terms of vertices of the parent but potentially vertices in the child
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originating from faces of the parent. This has been done historically in
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OpenSubdiv but is finding less use -- particularly when it comes to providing
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greater support for the Loop scheme -- and is a point needing attention.
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So the mask queries require the following capabilities:
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* assign the number of vertex, edge and/or face weights
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* retrieve the number of vertex, edge and/or face weights
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* assign individual vertex, edge and/or face weights by index
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* retrieve individual vertex, edge and/or face weights by index
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through a set of methods required of all *MASK* classes. Since the maximum
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number of weights is typically known based on the topology, usage within Vtr,
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*Far* or *Hbr* is expected to simply define buffers on the stack. Another
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option is to utilize pre-allocated tables, partitioned into the three sets
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of weights on construction of a *MASK*, and populated by the mask queries.
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A potentially useful side-effect of this is that the client can define their
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weights to be stored in either single or double-precision. With that
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possibility in mind, care was taken within the mask queries to make use of a
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declared type in the *MASK* interface (*MASK::Weight*) for intermediate
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calculations. Having support for double-precision masks in *Sdc* does enable it
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at higher levels in OpenSubdiv if later desired, and that support is made
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almost trivial with *MASK* being generic.
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It is important to remember here that these masks are being defined consistent
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with existing usage within OpenSubdiv: both *Hbr* and the subdivision tables
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generated by *Far*. As noted above, the "face weights" correspond to the
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centers of incident faces, i.e. vertices on the same level as the vertex for
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which the mask is being computed, and not relative to vertices in the parent
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level as with the other sets of weights. It is true that the weights can be
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translated into a set in terms solely of parent vertices, but in the general
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case (i.e. *Catmark* subdivision with non-quads in the base mesh) this requires
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additional topological association. In general we would need N-3 weights for
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the N-3 vertices between the two incident edges, where N is the number of
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vertices of each face (typically 4 even at level 0). Perhaps such a
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translation method could be provided on the mask class, with an optional
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indication of the incident face topology for the irregular cases. The *Loop*
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scheme does not have *"face weights"*, for a vertex-vertex mask, but for an
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edge-vertex mask it does require weights associated with the faces incident the
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edge -- either the vertex opposite the edge for each triangle, or its center
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(which has no other use for Loop).
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