Spatiotemporal atlas parameterization for evolving meshes
ACM Transactions on Graphics, vol. 36 (2017)
Fabian Prada, Misha Kazhdan, Ming Chuang, Alvaro Collet, Hugues Hoppe
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.