A survey of free-form object representation and recognition techniques

被引：363

作者：

Campbell, RJ ^{[1
]}

Flynn, PJ ^{[1
]}

机构：

[1] Ohio State Univ, Dept Elect Engn, Signal Anal & Machine Percept Lab, Dreese Lab 205, Columbus, OH 43210 USA

来源：

COMPUTER VISION AND IMAGE UNDERSTANDING | 2001年 / 81卷 / 02期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1006/cviu.2000.0889

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Advances in computer speed, memory capacity, and hardware graphics acceleration have made the interactive manipulation and visualization of complex, detailed (and therefore large) three-dimensional models feasible. These models are either painstakingly designed through an elaborate CAD process or reverse engineered from sculpted prototypes using modern scanning technologies and integration methods. The availability of detailed data describing the shape of an object offers the computer vision practitioner new ways to recognize and localize free-form objects. This survey reviews recent literature on both the 3D model building process and techniques used to match and identify free-form objects from imagery. (C) 2001 Academic Press.

引用

页码：166 / 210

页数：45

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