The typical computational approach to object understanding derives
shape information from the 2D outline of the objects. For complex
object structures, however, such a planar approach cannot determine
object shape; the structural edges have to be encoded in terms of
their full 3D spatial configuration. Computer Vision: From Surfaces
to 3D Objects is the first book to take a full approach to the
challenging issue of veridical 3D object representation. It
introduces mathematical and conceptual advances that offer an
unprecedented framework for analyzing the complex scene structure
of the world. An Unprecedented Framework for Complex Object
Representation Presenting the material from both computational and
neural implementation perspectives, the book covers novel analytic
techniques for all levels of the surface representation problem.
The cutting-edge contributions in this work run the gamut from the
basic issue of the ground plane for surface estimation through
mid-level analyses of surface segmentation processes to complex
Riemannian space methods for representing and evaluating surfaces.
State-of-the-Art 3D Surface and Object Representation This
well-illustrated book takes a fresh look at the issue of 3D object
representation. It provides a comprehensive survey of current
approaches to the computational reconstruction of surface structure
in the visual scene.
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