Vanishing point detection and line classification with BPSO

Signal, Image and Video Processing

Volumn 11, Issue 1, 2017, Pages 17-24

  Han, Lei ^a,b   Huang, Chenrong ^b   Zheng, Shengnan ^a,b   Zhang, Zhen ^a   Xu, Lizhong ^a  

^a HOHAI UNIVERSITY   (China)

^b NANJING INSTITUTE OF TECHNOLOGY   (China)

Author keywords

BPSO; Vanishing point estimation; Variance coefficient; Visual measurement

Indexed keywords

AUGMENTED REALITY; CALIBRATION; CAMERAS; CLUSTER ANALYSIS; COMPUTER VISION; IMAGE RECONSTRUCTION; ITERATIVE METHODS; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO);

BINARY PARTICLE SWARM OPTIMIZATION; BPSO; COEFFICIENT OF VARIATION; LINE CLASSIFICATION; VANISHING POINT DETECTION; VANISHING POINT ESTIMATIONS; VARIANCE COEFFICIENT; VISUAL MEASUREMENTS;

CLUSTERING ALGORITHMS;

EID: 84961775170     PISSN: 18631703     EISSN: 18631711     Source Type: Journal    
DOI: 10.1007/s11760-016-0883-8     Document Type: Article

References (19)

1. Almansa, A., Desolneux, A., Vamech, S.: Vanishing point detection without any a priori information. IEEE Trans. Pattern Anal. Mach. Intell. 25(4), 502–507 (2003)
2. Li, B.: Vanishing point detection using cascaded 1D hough transform from single images. Pattern Recognit. Lett. 33(1), 1–8 (2012)
3. Moghadam, P., Starzyk, J.A., Wijesoma, W.S.: Fast vanishing-point detection in unstructured environments. IEEE Trans. Image Process. 21(1), 425–430 (2012)
4. Antone, M.E., Teller, S.: Automatic recovery of relative camera rotations for urban scenes. In: Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on. vol. 2. IEEE (2000)
5. Košecká, J., Zhang, W.: Video compass. In: Computer Vision—ECCV 2002. Springer, Berlin, pp. 476–490 (2002)
6. Seo, K.-S., Lee, J.-H., Choi, H.-M.: An efficient detection of vanishing points using inverted coordinates image space. Pattern Recognit. Lett. 27(2), 102–108 (2006)
7. Barnard, S.T.: Interpreting perspective images. Artif. Intell. 21(4), 435–462 (1983)
8. Tardif, J.-P.: Non-iterative approach for fast and accurate vanishing point detection. In: Computer Vision, 2009 IEEE 12th International Conference on. IEEE (2009)
9. Lezama, J., et al.: Finding vanishing points via point alignments in image primal and dual domains. In: Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on. IEEE (2014)
10. Tuytelaars, T., et al.: The cascaded Hough transform as an aid in aerial image interpretation. In: Computer Vision, 1998. Sixth International Conference on. IEEE (1998)
11. Antunes, M., Barreto, J.P.: A global approach for the detection of vanishing points and mutually orthogonal vanishing directions. In: Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on. IEEE (2013)
12. Kalantari, M., Jung, F., Guedon, J.: Precise, automatic and fast method for vanishing point detection. Photogramm. Rec. 24(127), 246–263 (2009)
13. Rother, C.: A new approach to vanishing point detection in architectural environments. Image Vis. Comput. 20(9), 647–655 (2002)
14. Eberhart, R.C., Shi, Y.: Particle swarm optimization: developments, applications and resources. In: Evolutionary Computation, 2001. Proceedings of the 2001 Congress on. vol. 1. IEEE (2001)
15. Lee, M., et al.: A clustering algorithm using particle swarm optimization for DNA chip data analysis. In: Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication. ACM (2009)
16. Engelbrecht, A.P.: Computational Intelligence: An Introduction. Wiley, London (2007)
17. Kennedy, J., Eberhart, R.C.: A discrete binary version of the particle swarm algorithm. In: Systems, Man, And Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on. vol. 5. IEEE (1997)
18. Nieto, M., Salgado, L.: Non-linear optimization for robust estimation of vanishing points. In: Image Processing (ICIP), 2010 17th IEEE International Conference on. IEEE (2010)
19. Denis, P., Elder, J.H., Estrada, F.J.: Efficient edge-based methods for estimating Manhattan frames in urban imagery. In: European Conference on Computer Vision, pp. 197–210 (2008)