Issue No. 02 - March (1988 vol. 10)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/34.3880
<p>A novel approach to solving the stereo correspondence problem in computer vision is described. Structural descriptions of two two-dimensional views of a scene are extracted by one of possibly several available low-level processes, and a new theory of inexact matching for such structures is derived. An entropy-based figure of merit for attribute selection and ordering is defined. Experimental results applying these techniques to real image pairs are presented. Some manipulation experiments are briefly presented.</p>
3D comput vision; computerised pattern recognition; robot vision; structural stereopsis; 2D views; stereo correspondence; inexact matching; entropy-based figure of merit; image pairs; computer vision; computerised pattern recognition; statistical analysis
A. Kak and K. Boyer, "Structural Stereopsis for 3-D Vision," in IEEE Transactions on Pattern Analysis & Machine Intelligence, vol. 10, no. , pp. 144-166, 1988.