Least-squares congealing for large numbers of images

Proceedings of the IEEE International Conference on Computer Vision

Volumn , Issue , 2009, Pages 1949-1956

  Cox, Mark ^a   Sridharan, Sridha ^a   Lucey, Simon ^a,b   Cohn, Jeffrey ^a,b  

^a QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^b CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPOSITIONAL STRATEGIES; IMAGE ALIGNMENT ALGORITHM; LEAST SQUARE; NOVEL METHODS; SINGLE IMAGES;

ALIGNMENT; WEAVING;

COMPUTER VISION;

EID: 77953193915     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCV.2009.5459430     Document Type: Conference Paper

References (8)

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3. M. Cox, S. Lucey, S. Sridharan, and J. Cohn. Least squares congealing for unsupervised alignment of images. In IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2008.
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8. H.-Y. Shum and R. Szeliski. Systems and experiment paper: Construction of panoramic image mosaics with global and local alignment. International Journal of Computer Vision, 36(2):101-130, 02 2000/02/01/.