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Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers (1994)
Pacific Grove, CA, USA
Oct. 31, 1994 to Nov. 2, 1994
ISSN: 1058-6393
ISBN: 0-8186-6405-3
pp: 726-730
H.K. Aghajan , Dept. of Electr. Eng., Stanford Univ., CA, USA
T. Kailath , Dept. of Electr. Eng., Stanford Univ., CA, USA
ABSTRACT
A unifying framework for solving several problems in image understanding is proposed based on the exploitation of subspace fitting techniques originally developed for antenna array processing applications. The SLIDE (subspace-based line detection) algorithm is a framework for introducing the concept of subspace fitting into problems in image understanding and computer vision. The basic formulation of SLIDE provides a solution to the problem of multiple line fitting in binary or gray-scale images. However, as is shown in this paper, its modified versions can be applied to several other image analysis problems.<>
INDEX TERMS
edge detection, signal detection, computer vision, motion estimation, curve fitting
CITATION

H. Aghajan and T. Kailath, "Subspace techniques for image understanding," Proceedings of 1994 28th Asilomar Conference on Signals, Systems and Computers(ACSSC), Pacific Grove, CA, USA, 1995, pp. 726-730.
doi:10.1109/ACSSC.1994.471547
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