Identify partially obscured objects in two dimensions by matching noisy curves to models, with fast, robust algorithms that handle occlusion.
This guide presents a boundary- and curve-based approach to recognizing objects when parts are hidden from view. It focuses on using rigidly embedded curves on object surfaces that move with rotation and translation, enabling fast, accurate matching even in noisy images. The method emphasizes practical smoothing, least-squares matching, and efficient computation suitable for real-time analysis.
Key ideas include working with 2-D and 3-D scenarios, defining curves along object boundaries, and using smoothing to counteract noise. The approach leverages fast Fourier transforms to reduce matching time and discusses how to extend concepts to compound scenes where objects overlap or are partially obscured.
Ideal for readers applying computer vision and pattern-minding techniques to recognize objects in cluttered or partially occluded scenes.
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Seller: Forgotten Books, London, United Kingdom
Paperback. Condition: New. Print on Demand. This book explores the complex problem of identifying and matching partially obscured objects in 2D and 3D scenes. Through the lens of noisy, incomplete data, the author explores efficient methods for smoothing data and matching portions of observed object boundaries to pre-stored models. While similar techniques use tangent direction estimates to make matches, this book employs high-speed algorithms to calculate optimal rotations and translations for a given match. The approach also bears relation to methods described in [GLP84], [GLP85], but operates independently of any assumption that objects to be identified should be polygonal or polyhedral. Drawing on examples from computer vision, industrial environments, and more, this book offers a robust and efficient approach to object identification that can be applied to a wide range of problems. 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. print-on-demand item. Seller Inventory # 9781332142248_0
Quantity: Over 20 available
Seller: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781332142248
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000. Seller Inventory # LW-9781332142248
Quantity: 15 available