Object recognition through invariant indexing
Author(s)
Bibliographic Information
Object recognition through invariant indexing
（Oxford science publications）
Oxford University Press, 1995
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Note
Includes bibliographical references (p. [251]-259) and index
Description and Table of Contents
Description
Computer (robot) vision is a very challenging area of research. The problem of object recognition is central to computer vision in many applications such as the automatic sorting , selection, orientation, and inspection of manufactured items. It is also very important in navigation problems in mobile robots.
In invarient indexing one computes measures from a scene that index into a base with a minimal search, so producing hypotheses of the identities of objects present in the scene. This book investigates how these measures are incorporated into a recognition system and also develops a range of projective indexes that can be used. The benefit of using projective measures is that they are unchanged by the imaging process.
Table of Contents
- Introduction
- 1. Object recognition
- 2. Plane algebraic projective invariants
- 3. The recognition architecture: algebraic invariants: LEWIS1
- 4. Projective invariants of smooth plane curves: LEWIS2
- 5. Segmentation and grouping
- 6. Invariants for 3D objects
- Conclusions
- References
- Index
by "Nielsen BookData"