Measuring the affine transform using gaussian filters

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 801 LNCS, Issue , 1994, Pages 159-164

  Manmatha, R ^a  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; DEFORMATION; PULSE SHAPING CIRCUITS;

3D STRUCTURES; AFFINE DEFORMATION; FIRST ORDER; GAUSSIAN FILTERS; GAUSSIANS; IMAGE DEFORMATION; RELATIVE MOTION;

AFFINE TRANSFORMS;

EID: 85027419699     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/bfb0028346     Document Type: Conference Paper

References (6)

1. J.R. Bergen, P. Anandan, K. J. Hanna, and R. Hingorani. Hierarchical model-based motion estimation. In Proc. 2nd European Conference on Computer Vision, pages 237–252, 1992.
2. M. Campani and A. Verri. Motion analysis from optical flow. Computer Vision Graphics and Image Processing:Image Understanding, 56(12):90–107, 1992.
3. D. G. Jones and J. Malik. A computational framework for determining stereo correspondence from a set of linear spatial filters. In Proc. 2nd European Conference on Computer Vision, pages 395–410, 1992.
4. R. Manmatha. linage matching under affine deformations. In Invited Paper, Proc. of the 27nd Asilomar IEEE Conf. on Signals, Systems and Computers, 1993.
5. R. Manmatha and J. Oliensis. Measuring the affine transform — i: Scale and rotation. Technical Report Technical Report CMPSCI TR 92–74, University of Massachusetts at Amherst, MA, 1992. Also in Proc. of the Darpa Image Understanding Workshop 1993.
6. P. Werkhoven and J. J. Koenderinck. Extraction of motion parallax structure in the visual system 1. Biological Cybernetics, 1990.