Object recognition through invariant indexing
著者
書誌事項
Object recognition through invariant indexing
（Oxford science publications）
Oxford University Press, 1995
大学図書館所蔵 件 / 全10件
-
該当する所蔵館はありません
- すべての絞り込み条件を解除する
注記
Includes bibliographical references (p. [251]-259) and index
内容説明・目次
内容説明
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.
目次
- 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
「Nielsen BookData」 より
