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 feature like nose and forehead. We test our
approach at the Princeton Shape Benchmark as well as on some other surfaces, and received a correct face
detection in more than 99% of the test cases.