Publication | Closed Access
Spatiotemporal atlas parameterization for evolving meshes
33
Citations
26
References
2017
Year
Atlas ParameterizationGeometry CompressionEngineeringGeometryGeometry GenerationComputer-aided Design3D Computer VisionMesh OptimizationImage AnalysisData ScienceComputational GeometryReal-time Computer GraphicGeometric ModelingMachine VisionStructure From MotionComputer VisionMesh TrianglesNatural SciencesMesh Reduction3D ReconstructionSpatiotemporal Atlas ParameterizationCoherent Mesh Connectivity
We convert a sequence of unstructured textured meshes into a mesh with incrementally changing connectivity and atlas parameterization. Like prior work on surface tracking, we seek temporally coherent mesh connectivity to enable efficient representation of surface geometry and texture. Like recent work on evolving meshes, we pursue local remeshing to permit tracking over long sequences containing significant deformations or topological changes. Our main contribution is to show that both goals are realizable within a common framework that simultaneously evolves both the set of mesh triangles and the parametric map. Sparsifying the remeshing operations allows the formation of large spatiotemporal texture charts. These charts are packed as prisms into a 3D atlas for a texture video. Reducing tracking drift using mesh-based optical flow helps improve compression of the resulting video stream.
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