A new methodology for computing invariants in computer vision

Proceedings - International Conference on Pattern Recognition

Volumn 1, Issue , 1996, Pages 393-397

  Lasenby, J ^a   Bayro Corrochano, E ^c   Lasenby, A N ^b   Sommer, G ^b  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^c UNIVERSITY OF KIEL   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

SOFTWARE ENGINEERING;

GEOMETRIC ALGEBRA; GRASSMANN-CAYLEY ALGEBRAS; IMAGE COORDINATES; PROJECTIVE INVARIANT;

PATTERN RECOGNITION;

EID: 84898818321     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.1996.546056     Document Type: Conference Paper

References (11)

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2. Bayro-Corrochano, E. Lasenby, J. and Sommer, G. 1996. Geometric Algebra: a framework for computing point and line correspondences and projective structure using n-uncalibrated cameras. Proceedings of ICPR'96, Vienna.
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10. Lasenby. J. 1995. Engineering applications of geometric algebra, to appear in Proceedings of Banff Summer School on Geometric Algebras in Physics. August 1995. Birkhauser Boston.
11. Lasenby. J. Bayro-Corrochano, E., Lasenby, A. and Sommer, G. 1996. A New Methodology for the Computation of Invariants in Computer Vision. Cambridge University Engineering Department Technical Report, CUED/F-INENC/TR. 244.