Using geometry towards stereo dense matching

Pattern Recognition

Volumn 33, Issue 5, 2000, Pages 871-873

  Boufama, Boubakeur S ^a  

^a UNIVERSITY OF WINDSOR   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0038957397     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(99)00150-8     Document Type: Article

References (4)

1. Zhang Z., Deriche R., Faugeras O.D., Luong Q.T. A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry. Artif. Intell. 78(1-2):1994;87-119.
2. Aschwanden P., Guggenbühl W. Experimental results from a comparative study on correlation type registration algorithms. Förstner, Ruwiedel Robust Computer Vision. 1992;268-282 Wichmann Verlag, Heidelberg, Germany.
3. 2 -invariant representations, in: Proceedings of the 12th International Conference on Pattern Recognition, Jerusalem, Israel 1994, pp. A-196-202.
4. B. Boufama, R. Mohr, Epipole and fundamental matrix estimation using the virtual parallax property, in: Proceedings of the 5th International Conference on Computer Vision, Cambridge, Massachusetts, USA June 1995, pp. 1030-1036.