Super-resolution of faces using the epipolar constraint

BMVC 2007 - Proceedings of the British Machine Vision Conference 2007

Volumn , Issue , 2007, Pages

  Den Hollander, Richard J M ^a   De Lange, Dirk Jan J ^a   Schutte, Klamer ^a  

^a TNO   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; FACE RECOGNITION; ITERATIVE METHODS;

EPIPOLAR CONSTRAINTS; EPIPOLAR GEOMETRY; FACE DETECTOR; FLOW VECTORS; ITERATIVE BACK PROJECTIONS; MULTIPLE-FRAME; OPTICAL FLOW ALGORITHM; SUPER RESOLUTION;

OPTICAL RESOLVING POWER;

EID: 84898411573     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5244/C.21.42     Document Type: Conference Paper

References (12)

1. EC funded caviar project / IST 2001 37540. http://homepages.inf.ed.ac.uk/ rbf/CAVIAR/.
2. Open computer vision library, Windows version beta 5 (21-7-2005). available from http://opencvlibrary.sourceforge.net/.
3. S. Baker and T. Kanade. Hallucinating faces. Technical Report CMU-RI-TR-99-32, Robotics Institute, Carnegie Mellon University, 1999.
4. S. Baker and T. Kanade. Super-resolution optical flow. Technical Report CMU-RITR- 99-36, Robotics Institute, Carnegie Mellon University, 1999.
5. J.-Y. Bouguet. Pyramidal implementation of the lucas kanade feature tracker. Included in OpenCV library.
6. M.A. Fischler and R.C. Bolles. Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography. Communications of the ACM, 24(6):381-395, 1981.
7. R. Fransens, C. Strecha, and L. Van Gool. A probabilistic approach to optical flow based super-resolution. In The workshop on Generative-Model Based Vision, 2004.
8. D.O. Gorodnichy. Video-based framework for face recognition in video. In Proc. of the Second Canadian Conference on Computer and Robot Vision, 2005.
9. R.I. Hartley and A. Zisserman. Multiple View Geometry in Computer Vision. Cambridge University Press, second edition, 2003.
10. M. Irani and S. Peleg. Improving resolution by image registration. CVGIP: Graphical Models Image Processing, 53(3):231-239, 1991.
11. K. Jia and S. Gong. Multi-modal tensor face for simultaneous super-resolution and recognition. In IEEE International Conference on Computer Vision, 2005.
12. P. Viola and M. Jones. Rapid object detection using a boosted cascade of simple features. In Proc. CVPR, 2001.