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要旨:
This paper tackles a particular shape matching problem: given a data base of
shapes (described as triangular meshes), we search for all shapes which
describe a human. We do so by applying a 3D face detection approach on the mesh
which consists of three steps: first, a local symmetry value is computed for
each vertex. Then, the symmetry values in a certain neighborhood of each vertex
are analyzed for building sharp symmetry lines. Finally, the geometry around
each vertex is analyzed to get further facial features like nose and forehead.
We tested our approach with several shape data bases (e.g. the Princeton Shape
Benchmark) and achieved high rates of correct face detection.
