Visual occlusion and the interpretation of ambiguous pictures
Author(s)
Bibliographic Information
Visual occlusion and the interpretation of ambiguous pictures
（Ellis Horwood series in computers and their applications）
Ellis Horwood, 1992
Available at 16 libraries
Note
Includes bibliographical references (p. [273]-295) and index
Description and Table of Contents
Description
The main issues of this book concern the way that knowledge about the real world (geometry of surfaces and the projection of a 3D screen into a 2D picture, etc) can provide strong constraints on the possible interpretation of a picture; how apparently intractable computational problems may have interesting subproblems which are tractable; and how a provably-correct and efficient algorithm can provide a solid foundation on which to build a robust and practical computer vision system. The book is divided into two parts. Part 1 describes how to use general non-model-based methods, such as line labelling, to gain 3D information about scenes, while at the same time solving the correspondence problem between pairs of pictures in order to learn the 3D shape of objects. Part 2 looks at how to interpret a picture of a cluttered scene containing known objects. Efficient algorithms are described for the problem of determining all physically possible interpretations of such a picture. Computational complexity and ambiguity are discussed in detail.
Although originally designed for two-dimensional objects viewed under ortho-graphic projection, the algorithms can also be applied to the cases of perspective projection and range imagery. An extensive survey of the literature (over 100 references) covers all presently-used techniques for the model-based recognition of partially-visible objects.
Table of Contents
- Part 1 Learning objects from pictures of many cluttered sciences: problem statement
- interpretation of line drawings of complex objects
- learning objects from multiple pictures
- algorithms for the consistent labelling problem. Part 2 Interpreting a picture of a cluttered scene containing known objects: formal problem statement
- listing all interpretations
- finding all interpretations without a combinatorial explosion
- ambiguity
- survey of the recognition of partially-visible objects
- discussion. Appendix.
by "Nielsen BookData"