Planar grouping for automatic detection of vanishing lines and points

被引:74
作者
Schaffalitzky, F [1 ]
Zisserman, A [1 ]
机构
[1] Univ Oxford, Dept Engn Sci, Oxford OX1 3PJ, England
基金
英国工程与自然科学研究理事会;
关键词
grouping; vanishing point and line detection; repetition;
D O I
10.1016/S0262-8856(99)00069-4
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
It is demonstrated that the idea of grouping together features that satisfy a geometric relationship can be used, both for (automatic) detection and estimation of vanishing points and lines. We describe the geometry of three commonly occurring types of geometric grouping and present efficient grouping algorithms, which exploit these geometries. The three types of grouping are: (1) a family of equally spaced coplanar parallel lines; (2) a planar pattern obtained by repeating some element by translation in the plane; and (3) a set of elements arranged in a regular planar grid. Examples of automatically computing groupings, together with their vanishing points and lines, are given for a number of real images. (C) 2000 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:647 / 658
页数:12
相关论文
共 25 条
[11]  
Leung T., 1996, Computer Vision - ECCV '96. 4th Eurpean Conference on Computer Proceedings, P546, DOI 10.1007/BFb0015565
[12]   Metric rectification for perspective images of planes [J].
Liebowitz, D ;
Zisserman, A .
1998 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, PROCEEDINGS, 1998, :482-488
[13]   CONTRIBUTION TO THE DETERMINATION OF VANISHING POINTS USING HOUGH TRANSFORM [J].
LUTTON, E ;
MAITRE, H ;
LOPEZKRAHE, J .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1994, 16 (04) :430-438
[14]   VANISHING POINT DETECTION BY LINE CLUSTERING [J].
MCLEAN, GF ;
KOTTURI, D .
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1995, 17 (11) :1090-1095
[15]  
MUNDY JL, 1992, GEOMETRIC INVARIANCE
[16]  
Press W. H., 1994, NUMERICAL RECIPES C
[17]   Wide baseline stereo matching [J].
Pritchett, P ;
Zisserman, A .
SIXTH INTERNATIONAL CONFERENCE ON COMPUTER VISION, 1998, :754-760
[18]   DETERMINING PERSPECTIVE STRUCTURES USING HIERARCHICAL HOUGH TRANSFORM [J].
QUAN, L ;
MOHR, R .
PATTERN RECOGNITION LETTERS, 1989, 9 (04) :279-286
[19]  
SCHAFFALITZKY F, P BMVC1998, P13
[20]  
Semple J.G., 1979, Algebraic Projective Geometry