计算机/网络智能动画的现代方法：理论和实践

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基本信息

书名:智能动画的现代方法：理论和实践

原价：110.00

作者:庄越挺，潘云鹤，肖俊　著

出版社：浙江大学出版社

出版日期：2008-(咨询特价)

ISBN(咨询特价)

字数：(咨询特价)

页码：310

版次：1

装帧：精装

开本：16开

重量：

正文语种：

商品标识

编辑推荐

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内容提要

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Part of the new series, Advanced Topics in Science and Technology in China, this book discusses concepts, theory, and core technologies of intelligent theory and human animation, including video based human animation, and intelligent technology of motion data management and reusing. It introduces systems developed to demonstrate the technologies of video based animation. Each chapter is independent. Lively pictures and demos will be presented to make the theory and technologies more understandable. For researchers, this is a reference book and an update on the current status of human animation. For professionals, this is a guide for application development using human animation technologies.

目录

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1　Introduction
　1.1Traditional Computer Animation Techniques
　　1.1.1Key-frame Animation
　　1.1.2Articulated Animation
　　1.1.3Facial Expression Animation
　1.2Motion Capture Based Animation Techniques
　　1.2.1Definition of Motion Capture
　　1.2.2Introduction of Motion Capture Techniques
　　1.2.3Summarization
　1.3Motion Editing and Reuse Techniques
　　1.3.1Key-frame Editing
　　1.3.2Motion Warping
　　1.3.3Per-frame Editing
　1.3.4Per-frame Motion Editing Combing Filters
　　1.3.5Spatio-temporal Constraint Based Motion Editing
　　1.3.6Physical Property Based Motion Editing
　1.4Data-driven Animation Techniques
　　1.4.1Data Synthesis Oriented Character Animation
　　1.4.2Environment Sensitive Character Animation
　1.5Intelligent Animation
　　1.5.1Characteristics and Requirements of Intelligent Animation
　　1.5.2Overview of Video-based Intelligent Animation Techniques
　References
2　Natural Video-based Human Motion Capture
　2.1Human Motion Capture Based on FeatureTracking
　　2.1.1Human Skeleton Model
　　2.1.2Feature Tracking in 2D Image Sequence
　　2.1.3Reconstruction of 3D Human Motion Sequence
　　2.1.4VBHASV1.0
　　2.1.5Discussions
　2.2Human Motion Capture Based on Silhouette
　　2.2.1Overview
　　2.2.2Silhouette Extraction and Analysis
　　2.2.3Pose Recovery
　　2.2.4Motion Recovery
　　2.2.5Results
　　2.2.6Discussions
　References
3　Human Motion Capture Using Color Markers
　3.1Tracking Color Markers
　　3.1.1Human Model and Color Space
　　3.1.2Kalman Filter
　　3.1.3Edge Detection and Edge Extraction
　　3.1.4Rectangle Construction
　　3.1.5Block Matching Algorithm
　3.23D Recovery of Human Motion Data
　　3.2.1Two-step Calibration
　　3.2.2Selection of Start Points
　　3.2.3Solving for Other Joints
　3.3Case Studies: VBHAS V2.0
　　3.3.1Results of Human Motion Tracking
　　3.3.2Results of Human Motion 3D Reconstruction
　References
4　Two-camera-based Human Motion Capture
　4.1Human Model
　4.2Human Motion Feature Tracking
　　4.2.1Feature Tracking Algorithms Based on Kalman Filter and Epipolar Constraint
　　4.2.2Feature Tracking Based on Attribute Quantification
　　4.2.3Incomplete Motion Feature Tracking Algorithm in Video Sequences
　　4.2.4Human Motion Tracking in Video via HMM
　4.33D Motion Reconstruction
　　4.3.1Tsai Single Camera Linear Calibration Algorithm
　　4.3.2Nonlinear and Non-coplanar Calibration Model
　　4.3.33D Reconstruction of Motion Sequences
　4.4Case Studies: VBHAS V3.0
　　4.4.1Camera Calibration
　　4.4.2Feature Tracking
　　4.4.33D Reconstruction
　References
5　Video-based Facial Animation Techniques
6Intelligent Techniques for Processing and Management of Motion Data
7Intelligent Motion Data Reusing Techniques
8Intelligent Techniques for Character Animation
Index

作者介绍

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Yueting Zhuang received his PhD in Computer Science from Zhejiang University (1998). From 1997 to 1998, he was a visiting scholar at Beckman Institute, U. of Illinois, Urbana-Champaign. Now he is a full professor of the College of Computer Science at Zhej

序言

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