Computer Vision: A Modern Approach (2版)

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Computer Vision: A Modern Approach 2/E(IE) 2012 <PH>2/E IE 2012 作者：David A. Forsyth, Jean Ponce ISBN：9780273764144 版次：2 年份：2012 出版商：Pearson Education 頁數/規格：791頁/平裝單色 簡介: Description This textbook provides the most complete treatment of modern computer vision methods by two of the leading authorities in the field. This accessible presentation gives both a general view of the entire computer vision enterprise and also offers sufficient detail for students to be able to build useful applications. Students will learn techniques that have proven to be useful by first-hand experience and a wide range of mathematical methods. 目錄: Table of Contents I IMAGE FORMATION 1 Geometric Camera Models 2 Light and Shading 3 Color II EARLY VISION: JUST ONE IMAGE 4 Linear Filters 5 Local Image Features 6 Texture III EARLY VISION: MULTIPLE IMAGES 7 Stereopsis 8 Structure from Motion IV MID-LEVEL VISION 9 Segmentation by Clustering 10 Grouping and Model Fitting 11 Tracking V HIGH-LEVEL VISION 12 Registration 13 Smooth Surfaces and Their Outlines 14 Range Data 15 Learning to Classify 16 Classifying Images 17 Detecting Objects in Images 18 Topics in Object Recognition VI APPLICATIONS AND TOPICS 19 Image-Based Modeling and Rendering 20 Looking at People 21 Image Search and Retrieval VII BACKGROUND MATERIAL 22 Optimization Techniques