With the increasing computing power of modern computers, 3D gra-phics
technologies find more and more applications in various fields. For
example, 3D animation techniques can produce spectacular movie scenes
that are difficult by traditional methods. For many of these 3D graphics
technologies, 3D shape analysis is the key. In the example, only with
correct 3D shape models can one render a real sensed scene. This book
focuses on latest research in 3D shape analysis including surface
construction, shape classification and matching. It also dis-cusses
related supporting technologies such as image segmentation, conformal
mapping and pattern recognition. For surface construction, the book
introduces a new generalized marching cubes method that allows zero
samples to better preserve the original topology and improve
representation accuracy. For 3D shape classification, a new method based
on spherical normal images is proposed. Furthermore, the book explores a
new classification and matching method based on 4D hyper-spherical
harmonics. It performs better than methods based on concentric spheres
models at same feature vector length.