Scene Analysis: A Survey (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$ 17.80
Quantity: Over 20 available
Add to basketItem description from seller
Print on Demand. This book explores the fascinating world of computer vision, a field that aims to imbue machines with the ability to "see" and understand the world around them. Building upon earlier work in picture processing and pattern recognition, the author delves into the intricate process of "scene analysis," which seeks to interpret two-dimensional images of three-dimensional environments, much like how humans perceive the world. The book examines various approaches to this complex task, including methods that analyze straight lines and their intersections, as well as those that focus on merging adjacent regions of similar visual properties. Through a detailed analysis of these techniques, the author reveals the profound interplay between geometric principles and semantic understanding that underpins computer vision. The book offers a unique perspective on the challenges and possibilities of building truly intelligent visual systems, highlighting the potential of this field to revolutionize our interaction with machines. 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 # 9781332620234_0
- Title
- Scene Analysis: A Survey (Classic Reprint)
- Author
- Carl Weiman
- Publisher
- Forgotten Books
- Publication year
- 2022
- Condition
- New
- Book Type
- print-on-demand item
- Binding
- Paperback
- Language
- English
- ISBN 10
- 133262023X
- ISBN 13
- 9781332620234
- Seller catalogs
- Geometry
A clear primer on how machines interpret what they see.
This survey explains how computers process two-dimensional images to understand three-dimensional scenes, turning pictures into data that represents objects and their relations.
Written for readers curious about artificial vision, it compares major approaches, links them to projective geometry, and outlines how early picture processing evolved into scene analysis. The text also discusses how semantics and geometry work together to support perception, recognition, and planning for systems like robots and automated vehicles.
- Distinguishes line analysis from region analysis and explains how each helps identify objects.
- Shows how pattern recognition turns measurements into meaningful categories using features and similarity.
- Describes numerical methods that infer 3-D shape from shading, texture, and perspective cues.
- Offers a historical view and guidance on where the field may advance in the future.
Ideal for readers interested in artificial intelligence, computer vision, and the science behind how machines perceive the world.
"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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