Looking to build a model world: Automatic construction of static object models using computer vision

作     者：Illingworth, J Hilton, A 

作者机构：Univ Surrey Sch Elect Engn Informat Technol & Math Ctr Vis Speech & Signal Proc Guildford GU2 5XH Surrey England 

出 版 物：《ELECTRONICS & COMMUNICATION ENGINEERING JOURNAL》 (电子学与通讯工程杂志)

年 卷 期：1998年第10卷第3期

页      面：103-113页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：graphical CAD/CAM models walk through video video signal processing multiple camera platform 3D shape models static video cameras production times Graphics techniques automatic construction computer vision silhouettes multimedia laser striping sonar mobile video cameras Computer vision and image processing techniques virtual reality solid modelling static object models active range sensors model world passive uncalibrated video sequences image sequences 

摘      要：Recent interest in virtual reality and multimedia has provided a great impetus to the development of automatic techniques for building graphical CAD/CAM models of objects and environments by sensing reality itself. The learning of models in this way is essential, particularly in terms of production times and attaining the required high fidelity needed for many applications Research has produced techniques for extracting full 3D shape models using a variety of sensors and a spectrum of techniques. These include the use of static video cameras, mobile video cameras (e.g. walk through video), multiple camera platforms and/or specialist active range sensors (typically based on laser striping or sonar). This paper introduces the principles and methodologies underlying several of these methods and presents algorithms and examples from systems representative of three major approaches: models from silhouettes, models from active range sensors and, finally, models from passive uncalibrated video sequences.