Object Recognition through Invariant Indexing

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Charles A. Rothwell (Robotics Research Group, Department of Engineering Science, Robotics Research Group, Department of Engineering Science, University of Oxford)

Object Recognition through Invariant Indexing

Charles A. Rothwell (Robotics Research Group, Department of Engineering Science, Robotics Research Group, Department of Engineering Science, University of Oxford)

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English

Oxford University Press
23 February 1995

Industrial quality control; Pattern recognition; Computer vision; Signal processing; Image processing

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.

By: Charles A. Rothwell (Robotics Research Group Department of Engineering Science Robotics Research Group Department of Engineering Science University of Oxford)
Imprint: Oxford University Press
Country of Publication: United Kingdom
Dimensions: Height: 241mm, Width: 161mm, Spine: 18mm
Weight: 1g
ISBN: 9780198565123
ISBN 10: 0198565127
Pages: 272
Publication Date: 23 February 1995
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

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

Reviews for Object Recognition through Invariant Indexing

This research work fills a void in theoretical and practical studies of computer vision . . . .This work is valuable from both theoretical and practical points of view, and I would recommend it to readers interested in object recognition. --Computing Reviews<br> Rothwell, a member of Project Robotvis at INRIA in France, has written a valuable book about object recognition, a central problem in computer (robot) vision. --Choice<br>