Title :
A floating-point systolic cell for fit-error computations in vision processing
Author :
Malowany, A.S. ; Malowany, M.E.
Author_Institution :
McGill Res. Centre for Intelligent Machines, Montreal, Que., Canada
Abstract :
A floating-point systolic cell architecture for a VLSI circuit to perform fit-error computations is proposed. The cell is intended for participation in a dedicated hardware system which extracts mean and Gaussian curvature maps from range images. The principles of the cell architecture are given as well as an outline of the curvature extraction procedure and the larger hardware environment for curvature extraction of which the array of new cells forms a part. Results are presented from applying a software version of the curvature extraction algorithm with this fit-error computation to a real range image in a general-purpose Sun computing environment. Performance estimates for the curvature extraction using the new dedicated hardware are compared to measured execution times in the general-purpose computing environment.<>
Keywords :
VLSI; cellular arrays; computer vision; computerised picture processing; Gaussian curvature maps; VLSI circuit; cell architecture; curvature extraction algorithm; dedicated hardware system; fit-error computations; floating-point systolic cell; general-purpose Sun computing environment; mean curvature maps; range images; software; vision processing; Circuits; Computer architecture; Computer vision; Convolution; Curve fitting; Data mining; Hardware; Laboratories; Robot vision systems; Surface fitting;
Conference_Titel :
Communications, Computers and Signal Processing, 1989. Conference Proceeding., IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC, Canada
DOI :
10.1109/PACRIM.1989.48444
