We address the problem of automatically detecting a sparse set of 3D mesh vertices, likely to
be good candidates for determining correspondences, even on soft organic objects. We …

This book is primarily a graduate text on 3D imaging, shape analysis, and associated
applications. In addition to serving masters-level and doctoral-level research students, much …

Face recognition using standard 2D images struggles to cope with changes in illumination
and pose. 3D face recognition algorithms have been more successful in dealing with these …

Face recognition using 3D cameras captures and processes explicit 3D shape information
and is more resistant to spoofing security attacks than 2D face recognition. However, typical …

This thesis describes a new method for localising anthropometric landmark points on 3D
face scans. The points are localised by fitting a sparse shape model to a set of candidate …