Groupwise geometric and photometric direct image registration

BMVC 2006 - Proceedings of the British Machine Vision Conference 2006

Volumn , Issue , 2006, Pages 157-166

  Bartoli, Adrien ^a  

^a CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; GEOMETRY; IMAGE REGISTRATION; MATHEMATICAL TRANSFORMATIONS; PIXELS;

DIRECT APPROACH; GEOMETRIC TRANSFORMATIONS; PHOTOMETRIC TRANSFORMATION; PRE-COMPUTATION;

ALGORITHMS;

EID: 67349118697     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. S. Baker, R. Gross, and I. Matthews. Lucas-Kanade 20 years on: A unifying framework: Part 3. Technical Report CMU-RI-TR-03-35, Carnegie Mellon University, November 2003.
2. S. Baker and I. Matthews. Lucas-Kanade 20 years on: A unifying framework. International Journal of Computer Vision, 56(3):221-255, February 2004.
3. A. Bartoli. Direct image registration with gain and bias. In Topics in Automatic 3D Modeling and Processing Workshop, 2006.
4. G. D. Finlayson, M. S. Drew, and B. Funt. Color constancy: Generalized diagonal transforms suffice. Journal of the Optical Society of America A, 11(11):3011-3019, November 1994.
5. G. D. Hager and P. N. Belhumeur. Efficient region tracking with parametric models of geometry and illumination. IEEE Pattern Analysis and Machine Intelligence, 20(10), 1998.
6. K.P. Horn and G. Schunck. Determining optical flow. Artificial Intelligence, 17, 1981.
7. M. Irani and P. Anandan. About direct methods. In Workshop on Vision Algorithms: Theory and Practice, 1999.
8. H. Jin, P. Favaro, and S. Soatto. Real-time feature tracking and outlier rejection with changes in illumination. In Proceedings of the International Conference on Computer Vision, 2001.
9. B. D. Lucas and T. Kanade. An iterative image registration technique with an application to stereo vision. International Joint Conference on Artificial Intelligence, 1981.
10. H. Sawhney and R. Kumar. True multi-image alignment and its application to mosaicing and lens distortion correction. IEEE Pattern Analysis and Machine Intelligence, 21(3), 1999.
11. P. H. S. Torr and A. Zisserman. Feature based methods for structure and motion estimation. In Workshop on Vision Algorithms: Theory and Practice, 1999.