Vanishing point detection using cascaded 1D Hough Transform from single images

Pattern Recognition Letters

Volumn 33, Issue 1, 2012, Pages 1-8

  Li, Bo ^a   Peng, Kun ^a   Ying, Xianghua ^a   Zha, Hongbin ^a  

^a Peking University   (China)

Author keywords

1D accumulator space; Cascaded Hough Transform; Gaussian sphere; Vanishing point detection

Indexed keywords

1D ACCUMULATOR SPACE; 1D-HISTOGRAMS; COMPUTER VISION SYSTEM; GAUSSIAN SPHERE; HISTOGRAMMING; MANHATTANS; PERFORMANCE IMPROVEMENTS; PUBLIC DATABASE; SEARCH PROBLEM; SINGLE IMAGES; VANISHING POINT DETECTION;

COMPUTER VISION; GRAPHIC METHODS; HOUGH TRANSFORMS; SPHERES;

ALGORITHMS;

EID: 80054999177     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patrec.2011.09.027     Document Type: Article

References (23)

1. A. Almansa, A. Desolneux, and S. Vamech Vanishing point detection without any a priori information IEEE Trans. Pattern Anal. Machine. Intell. 25 4 2003 502 507
2. S.T. Barnard Interpreting perspective image Artif. Intell. 21 4 1983 435 462
3. B. Caprile, and V. Torre Using vanishing points for camera calibration Internat. J. Comput. Vision 4 2 1990 127 139
4. Cipolla, R.; Drummond, T.; Robertson, D.P.; 1999. Camera calibration from vanishing points in image of architectural scenes. In: BMVC.
5. Collins, R.T.; Weiss, R.S.; 1990. Vanishing point calculation as statistical inference on the unitsphere. In: ICCV, pp. 400-403.
6. Coughlan, J.M.; Yuille, A.L.; 1999. Manhattan world: Compass direction from a single image by bayesian inference. In: ICCV, pp. 941-947. (Pubitemid 32079967)
7. J.M. Coughlan, and A.L. Yuille Manhattan world: Orientation and outlier detection by Bayesian inference Neural Comput. 15 5 2003 1063 1088 (Pubitemid 37049801)
8. Denis, P.; Elder, J.H.; Estrada, F.J.; 2008. Efficient edge-based methods for estimating manhattan frames in urban imagery. In: ECCV, vol. 2, pp. 197-210.
9. Gool, L.J.V.; Zeng, G.; den Borre, F.V.; Müller, P.; 2007. Towards mass-produced building models. In: Photogrammetric Image Analysis (PIA07), pp. 209-220.
10. Hedau, V.; Hoiem, D.; Forsyth, D.; 2009. Recovering the spatial layout of cluttered rooms. In: ICCV.
11. Kong, H.; Audibert, J.-Y.; Ponce, J.; 2009. Vanishing point detection for road detection. In: CVPR, pp. 96-103.
12. Kosecká, J.; Zhang, W.; 2002. Video compass. In: ECCV, vol. 4, pp. 476-490.
13. Lee, D.C.; Hebert, M.; Kanade, T.; 2009. Geometric reasoning for single image structure recovery. In: CVPR, pp. 2136-2143.
14. Li, B.; Peng, K.; Ying, X.; Zha, H.; 2010. Simultaneous vanishing point detection and camera calibration from single images. In: International Symposium on Visual Computing.
15. Nieto, M.; Salgado, L.; 2010. Non-linear optimization for robust estimation of vanishing points. In: ICIP. IEEE, pp. 1885-1888.
16. Pflugfelder, R.P.; 2008. Self-calibrating cameras in video surveillance. Ph.D. Thesis, Graz University of Technology.
17. C. Rother A new approach to vanishing point detection in architectural environments Image Vision Comput. 20 9-10 2002 647 655 (Pubitemid 34862735)
18. K.-S. Seo, J.H. Lee, and H.-M. Choi An efficient detection of vanishing points using inverted coordinates image space Pattern Recognition Lett. 27 2 2006 102 108 (Pubitemid 41659795)
19. J.A. Shufelt Performance evaluation and analysis of vanishing point detection techniques IEEE Trans. Pattern Anal. Machine. Intell. 21 3 1999 282 288
20. Tardif, J.; 2009. Non-iterative approach for fast and accurate vanishing point detection. In: ICCV, pp. 941-947.
21. Tuytelaars, T.; Gool, L.J.V.; Proesmans, M.; Moons, T.; 1998. A cascaded hough transform as an aid in aerial image interpretation. In: ICCV, pp. 67-72.
22. Wildenauer, H.; Vincze, M.; 2007. Vanishing point detection in complex man-made worlds. In: ICIAP, pp. 615-622.
23. Zhang, Z.; 1999. Flexible camera calibration by viewing a plane from unknown orientations. In: ICCV, pp. 666-673. (Pubitemid 32080106)