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3-D Computer Vision: Principles, Algorithms and Applications

3-D Computer Vision: Principles, Algorithms and Applications (Paperback, 2023)

Yu-jin Zhang (지은이)
Springer
133,190원

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3-D Computer Vision: Principles, Algorithms and Applications
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· 제목 : 3-D Computer Vision: Principles, Algorithms and Applications (Paperback, 2023) 
· 분류 : 외국도서 > 컴퓨터 > 컴퓨터 그래픽
· ISBN : 9789811975820
· 쪽수 : 448쪽
· 출판일 : 2024-02-02

목차

Chapter 1???????????? Introduction

??????????????? 1.1????????? Human Vision and Characteristics

??????????????? 1.2????????? Computer Vision Theory and Model

??????????????? 1.3????????? 3D Vision System and Image Technology

??????????????? 1.4????????? Book Overview

Chapter 2???????????? Camera Calibration

??????????????? 2.1??? Linear Camera Model

??????????????? 2.2????????? Non-Linear Camera Model

??????????????? 2.3??? Traditional Calibration Methods

??????????????? 2.4??? Self-Calibration Methods

Chapter 3???????????? 3D Image Acquisition

??????????????? 3.1????????? High-Dimensional Image

??????????????? 3.2????????? Depth Image

??????????????? 3.3????????? Direct Depth Imaging

??????????????? 3.4????????? Stereo Vision Imaging

Chapter 4???????????? Video and Motion Information

??????????????? 4.1??? Video Basic

??????????????? 4.2??? Motion Classification and Representation

??????????????? 4.3??? Motion Information Detection

??????????????? 4.4??? Motion-Based Filtering

Chapter 5???????????? Moving Object Detection and Tracking

??????????????? 5.1??? Differential Image

??????????????? 5.2??? Background Modeling

??????????????? 5.3??? Optical Flow Field and Motion

??????????????? 5.4??? Moving Object Tracking

Chapter 6???????????? Binocular Stereo Vision

??????????????? 6.1??? Stereo Vision Process and Modules

??????????????? 6.2??? Region-Based Stereo Matching

??????????????? 6.3??? Feature-Based Stereo Matching

??????????????? 6.4??? Error Detection and Correction of Parallax Map

Chapter 7???????????? Monocular Multiple Image Reconstruction

??????????????? 7.1??? Photometric Stereo

??????????????? 7.2??? Shape from Illumination

??????????????? 7.3??? Optical Flow Equation

??????????????? 7.4??? Shape from Motion

Chapter 8???????????? Monocular Single Image Reconstruction

??????????????? 8.1??? Shape from Shading

??????????????? 8.2??? Solving Brightness Equation

??????????????? 8.3??? Shape from Texture

??????????????? 8.4??? Detection of Texture Vanishing Points

Chapter 9???????????? 3-D Scene Representation

??????????????? 9.1??? Local Features of the Surface

??????????????? 9.2??? 3-D Surface Representation

??????????????? 9.3??? Construction and Representation of Iso-Surfaces

??????????????? 9.4??? Interpolate 3-D Surfaces from Parallel Contours

??????????????? 9.5??? 3-D Entity Representation

Chapter 10????????? Scene Matching

??????????????? 10.1?? Matching Overview

??????????????? 10.2?? Object Matching

??????????????? 10.3?? Dynamic Pattern Matching

??????????????? 10.4?? Graph Theory and Graph Matching

??????????????? 10.5?? Line Drawing Signature and Matching

Chapter 11????????? Knowledge and Scene Interpretation

??????????????? 11.1?? Scene Knowledge

??????????????? 11.2?? Logic System

??????????????? 11.3?? Fuzzy Reasoning

??????????????? 11.4?? Scene Classification

Chapter 12????????? Spatial-Temporal Behavior Understanding

??????????????? 12.1?? Spatial-Temporal Technology

??????????????? 12.2?? Spatial-Temporal Interest Point Detection

??????????????? 12.3?? Spatial-Temporal Dynamic Trajectory Learning and Analysis

??????????????? 12.4?? Spatial-Temporal Action Classification and Recognition

Appendix A???????? Visual Perception

??????????????? A.1????????? Shape Perception

??????????????? A.2????????? Spatial Perception

??????????????? A.3????????? Motion Perception

Self-Test Questions Answers to Self-Test Questions Bibliography Subject Index

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