Computer Vision: A Modern Approach, 2/e (IE-Paperback)

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Computer Vision: A Modern Approach, 2/e (IE-Paperback)

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內容描述

<內容簡介>
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. Features
  Broad coverage—Coverage of a wide range of topics allows customization to fit instructor, student, and course needs.＊ Allows instructors to select the most relevant topics for their students and encourages students to enrich their coursework by reading information on other computer vision topics.
  Most comprehensive and up-to-date text on computer vision—Includes essential topics that either reflect practical significance or are of theoretical importance.＊ Provides students with the most coherent synthesis of current views and teaches them successful techniques for building applications.
  Depth of the material accessible to various levels of students—Topics are discussed in substantial and increasing depth.＊ While the first half of each chapter is accessible to undergraduates, a good grasp of each chapter provides students with a professional level of skill and knowledge.
  Application surveys—Describe numerous important application areas such as image based rendering and digital libraries.＊ Teaches students about practical use of techniques and helps them gain insight into the demands of applications.
  Many important algorithms broken down and illustrated in pseudo code. ＊ Enables students to build working systems easily as they can understand the construction of the final application.
  Excellent pedagogy throughout the text—Includes numerous worked examples, exercises, programming assignments, and extensive illustrations.＊ Provides students with ample opportunity to apply the concepts in the text.New to This Edition
  Every topic has been updated based on current research and trends in computer vision.
  Cleaner, clearer treatment of geometric computer vision, including camera calibration, stereopsis and structure from motion
  More application chapters, including image retrieval, human centric vision
  New section on object recognition, including a summary of recent research developments placed it in the context of an application.

<章節目錄>
I IMAGE FORMATION1 Geometric Camera Models 2 Light and Shading3 ColorII EARLY VISION: JUST ONE IMAGE4 Linear Filters 5 Local Image Features6 TextureIII EARLY VISION: MULTIPLE IMAGES7 Stereopsis8 Structure from MotionIV MID-LEVEL VISION 9 Segmentation by Clustering10 Grouping and Model Fitting11 TrackingV HIGH-LEVEL VISION12 Registration13 Smooth Surfaces and Their Outlines14 Range Data15 Learning to Classify16 Classifying Images17 Detecting Objects in Images18 Topics in Object RecognitionVI APPLICATIONS AND TOPICS19 Image-Based Modeling and Rendering20 Looking at People21 Image Search and RetrievalVII BACKGROUND MATERIAL22 Optimization Techniques