|Table of Contents|

[1] Li Zhongke, Yang Xiaohui, Wu Lenan,. A method of automatic plane detection without random search [J]. Journal of Southeast University (English Edition), 2003, 19 (3): 216-220. [doi:10.3969/j.issn.1003-7985.2003.03.003]
Copy

A method of automatic plane detection without random search()
Share:

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
19
Issue:
2003 3
Page:
216-220
Research Field:
Computer Science and Engineering
Publishing date:
2003-09-30

Info

Title:
A method of automatic plane detection without random search
Author(s):
Li Zhongke Yang Xiaohui Wu Lenan
Department of Radio Engineering, Southeast University, Nanjing 210096, China
Keywords:
plane detection feature matching plane homography computer vision
PACS:
TP391.4
DOI:
10.3969/j.issn.1003-7985.2003.03.003
Abstract:
Plane detection is a prerequisite for many computer vision tasks. This paper proposes a new method which can automatically detect planes from two projective images. Firstly, we modify Scott’s feature point matching method by post-processing its result with the concept of similarity, and then get the lines matching according to feature points matching based on the approximate invariance of the features’ distribution between two images. Finally, we group all feature points into subsets in terms of their geometric relations with feature lines as initial sets to estimate homography rather than by a random search strategy(like RANSAC)as in most existing methods. The proposed method is especially suitable to detecting planes in man-made scenes. This method is validated on real images.

References:

[1] Lourakis M I A, Argyrosand A A, Orphanoudakis S C. Detecting planes in an uncalibrated image pair [A]. In: BMVC[C]. 2002, 2: 587-596.
[2] Xu G, Terai J, Shum H Y. A linear algorithm for camera self-calibration, motion and structure recovery for multi-planar scenes from two perspective images [A]. In: IEEE CVPR[C]. 2000, 2: 474-479.
[3] Bartoli A. Piecewise planar segmentation for automatic scene modeling [A]. In: IEEE CVPR[C]. 2001, 2: 283-289.
[4] Bartoli A, Sturm P, Horaud R. A projective framework for structure and motion recovery from two views of a piecewise planar scene[R]. INRIA Research Report RR-4070. 2000.
[5] Pears N, Liang B. Ground plane segmentation for mobile robot visual navigation [A]. In: IEEE/RSJ International Conf on Intelligent Robots and Systems[C]. 2001. 1513-1518.
[6] Fornland P. Dominant plane detection for uncalibrated binocular vision [EB/OL]. http://www.nada.kth.se/cvap/ongoing-991214.html. 1998.
[7] Lourakis M I A, Halkidis S T, Orphanoudakis S C. Matching disparate views of planar surfaces using projective invariants [J]. IVC, 2000, 18(9): 673-683.
[8] Fischler M A, Bolles R C. Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography[J]. Communications of ACM, 1981, 24(6): 381-395.
[9] Shi J, Tomasi C. Good features to track [A]. In: IEEE CVPR[C]. 1994. 593-600.
[10] Zheng Z Q, Wang H, Teoh E K. Analysis of gray level corner detection [J]. Pattern Recognition Letter, 1999, 20(2):149-162.
[11] Pilu M. Uncalibrated stereo correspondence by singular value decomposition [R]. HP Technical Reports, HPL-97-96. 1997.

Memo

Memo:
Biographies: Li Zhongke(1976—), male, graduate; Wu Lenan(corresponding author), male, doctor, professor, wuln@seu.edu.cn.
Last Update: 2003-09-20