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add a set of definitions in the introduction
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@ -14,7 +14,6 @@ Elephant model with SDF values & Segmentation.
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\section Surface_mesh_segmentationIntroduction Introduction
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Mesh segmentation is the process of partitioning a mesh into smaller and meaningful sub-meshes. The application domain is wide and includes,
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but is not limited to modeling, rigging, texturing, shape-retrieval, and deformation. See a detailed survey on mesh segmentation techniques \cite Shamir2008SegmentationSurvey for more details.
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\todo put here the definition of segment vs. cluster
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This package provides an implementation of the algorithm relying on the Shape Diameter Function \cite Shapira2008Consistent (SDF).
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The SDF provides an estimate of the local volume diameter for each facet of the mesh (the SDF values). Given a surface mesh and its SDF values, the segmentation algorithm first applies soft clustering on
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@ -29,6 +28,9 @@ and provide detailed results at the end of the manual.
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\todo where is the benchmark result?
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\note In this chapter, a segment refers to a connected component of facets of a mesh. A cluster is a set of facets, not necessarily connected.
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One or several cluster can be merged to form a segment. Clustering refers to the action of gathering facets into the same segment or cluster.
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\section Surface_mesh_segmentationOverviewoftheSegmentation Overview of the Segmentation Process
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The segmentation algorithm consists of three major parts: Shape Diameter Function (SDF), soft clustering, and graph-cut for hard clustering.
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