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De Gruyter Textbook Ser.: Image Understanding by Yujin Zhang (2017, Trade Paperback)
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Title: Image Understanding. Language: English. Number of Pages: 312. Weight: 1.11 lbs. Publication Date: 2017-08-07. Publisher: WALTER DE GRUYTER INC.
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About this product
Product Identifiers
PublisherDE Gruyter Gmbh, Walter
ISBN-103110520346
ISBN-139783110520347
eBay Product ID (ePID)235258180
Product Key Features
Number of Pages312 Pages
Publication NameImage Understanding
LanguageEnglish
SubjectSignals & Signal Processing, Image Processing, Data Processing
Publication Year2017
TypeTextbook
AuthorYujin Zhang
Subject AreaComputers, Technology & Engineering
SeriesDe Gruyter Textbook Ser.
FormatTrade Paperback
Dimensions
Item Weight21.2 Oz
Item Length9.4 in
Item Width6.7 in
Additional Product Features
Intended AudienceScholarly & Professional
LCCN2018-003357
Reviews,,Bietet Vieles, was in anderen Lehrbüchern kaum oder gar nicht behandelt wird." Prof. Dr. Günther Görz, Friedrich-Alexander-Universität Erlangen-Nürnberg
Dewey Edition23
Grade FromCollege Graduate Student
IllustratedYes
Grade ToCollege Graduate Student
Dewey Decimal006.4
Table Of ContentTable of Content: Chapter 1 Stereo Vision 1.1 Modules of Stereo Vision 1.2 Region-Based Binocular Matching 1.3 Feature-Based Binocular Matching 1.4 Horizontal Multiple Stereo Matching 1.5 Orthogonal Trinocular Matching 1.6 Computing Sub-Pixel Level Disparity 1.7 Error Detection and Correction 1.8 Summary Problems, Further Reading Chapter 2 3-D Shape Information Recover 2.1 Photometric Stereo 2.2 Structure from Motion 2.3 Shape from Shading 2.4 Texture and Surface Orientation 2.5 Depth from Focal Length 2.6 Pose from Three Pixels 2.7 Summary Problems, Further Reading Chapter 3 Matching and Understanding 3.1 Fundamental of Matching 3.2 Object Matching 3.3 Dynamic Pattern Matching 3.4 Relation Matching 3.5 Graph Isomorphism 3.6 Labeling of Line Drawings 3.7 Summary Problems, Further Reading Chapter 4 Multi-Sensor Image Fusion 4.1 Overview of Information Fusion 4.2 Image Fusion 4.3 Pixel-Layer Fusion 4.4 Feature-Layer and Decision-Layer Fusions 4.5 Summary Problems, Further Reading Chapter 5 Content-Based Image Retrieval 5.1 Feature-Based Image Retrieval 5.2 Motion-Feature-Based Video Retrieval 5.3 Object-Based Retrieval 5.4 Video Analysis and Retrieval 5.5 Summary Problems, Further Reading
SynopsisThis graduate textbook explains image reconstruction technologies based on region-based binocular and trinocular stereo vision, and object, pattern and relation matching. It further discusses principles and applications of multi-sensor fusion and content-based retrieval. Rich in examples and excises, the book concludes image engineering studies for electrical engineering and computer science students.
LC Classification NumberTA1637
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