Real time 3D template matching

被引:0
作者
Jurie, F [1 ]
Dhome, M [1 ]
机构
[1] Univ Clermont Ferrand, CNRS, UMR 6602, LASMEA, F-63177 Clermont Ferrand, France
来源
2001 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1, PROCEEDINGS | 2001年
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
One of the most popular methods to extract useful informations from an image sequence is the template matching approach. In this well known method the tracking of a certain feature or target over time is based on the comparison of the content of each image with a sample template. In this article, we propose a 3D template matching algorithm that is able to track target corresponding to the projection of 3D surfaces. With only a few hundred of subtractions and multiplications per frame, our algorithm provides, in real time, an estimation of the 3D surface pose. The key-idea is to compute the difference between the current image content and the visual aspect of the target under the predicted spatial attitude. This difference image is converted into corrections on the 3D location parameters.
引用
收藏
页码:791 / 796
页数:6
相关论文
共 9 条
[1]  
BLACK M, 1998, EIGENTRACKING ROBUST
[2]  
BRUNELLI R, 1995, 1549 AI MIT
[3]  
Cootes T., 1998, Proc. ECCV, V2, P484
[4]   Task-specific gesture analysis in real-time using interpolated views [J].
Darrell, TJ ;
Essa, IA ;
Pentland, AP .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1996, 18 (12) :1236-1242
[5]   MODEL-BASED OBJECT POSE IN 25 LINES OF CODE [J].
DEMENTHON, DF ;
DAVIS, LS .
INTERNATIONAL JOURNAL OF COMPUTER VISION, 1995, 15 (1-2) :123-141
[6]  
GLEICHER M, 1997, CVPR97, P331
[7]   Efficient region tracking with parametric models of geometry and illumination [J].
Hager, GD ;
Belhumeur, PN .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1998, 20 (10) :1025-1039
[8]  
Jurie F, 2001, EIGHTH IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION, VOL II, PROCEEDINGS, P544, DOI 10.1109/ICCV.2001.937673
[9]   Fast, reliable head tracking under varying illumination: An approach based on registration of texture-mapped 3D models [J].
La Cascia, M ;
Sclaroff, S ;
Athitsos, V .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2000, 22 (04) :322-336