Robotics Research Technical Report: 3-D Curve Matching (Classic Reprint)
Language: English
Published by Forgotten Books, 2022
- Softcover
- New
Seller: Forgotten Books, London, United KingdomForgotten Books
AbeBooks seller since June 2, 2021
Condition: New
US$ 17.25
Quantity: Over 20 available
Add to basketItem description from seller
Print on Demand. This book addresses the problem of efficiently finding the best subcurve match for two given 3D curves, an important task in robot vision and object recognition. The author presents an innovative algorithm that operates in time linear to the number of sample points on the observed curve, making it practical for real-time applications. The method is particularly valuable in situations where viewpoint and occlusion limit the data available and a full surface description is impractical. The author demonstrates the algorithm's effectiveness through experiments involving the matching of 3D curves extracted from real-world objects. The insights gained from this work have significant implications for the development of efficient and robust object recognition systems. This book is a reproduction of an important historical work, digitally reconstructed using state-of-the-art technology to preserve the original format. In rare cases, an imperfection in the original, such as a blemish or missing page, may be replicated in the book.…
Seller Inventory # 9781330240670_0
- Title
- Robotics Research Technical Report: 3-D Curve Matching (Classic Reprint)
- Author
- Eyal Kishon
- Publisher
- Forgotten Books
- Publication year
- 2022
- Condition
- New
- Book Type
- print-on-demand item
- Binding
- Paperback
- Language
- English
- ISBN 10
- 1330240677
- ISBN 13
- 9781330240670
- Seller catalogs
- Statistics
Explore how to recognize and describe 3-D objects through curves
This book presents a practical approach to matching 3-D curves to identify and position object parts, even when views overlap or objects are partially hidden. It combines theory with step-by-step methods that work in real time.
The work focuses on turning complex 3-D shapes into sequences of local, invariant curve signatures. It explains how to use these footprints to filter candidates, then apply robust 3-D subcurve matching to confirm the best fit. Realistic applications include reassembling broken objects and building full object descriptions from partial views, using hands-on experiments with 3-D curve data.What you’ll experience
- How to represent curves with local, rotationally and translationally invariant signatures.
- The idea behind geometric hashing to identify long matching subcurves.
- How the Schwartz–Sharir algorithm is used to compute alignments in 3-D space.
- Practical workflows for 3-D curve reconstruction from multiple viewpoints.
"Synopsis" may belong to another edition of this title.
Forgotten Books
London, United Kingdom
AbeBooks seller since June 2, 2021
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Forgotten Books’ Classic Reprint Series utilizes the latest technology to regenerate facsimiles of historically important writings. Careful attention has been made to accurately preserve the original format of each page whilst digitally enhancing the quality of the aged text.
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