1 March 1990 Polar Exponential Sensor Arrays Unify Iconic and Hough Space Representation
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Proceedings Volume 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques; (1990); doi: 10.1117/12.969796
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States
Abstract
The log-polar coordinate system, inherent in both polar exponential sensor arrays and log-polar remapped video imagery, is identical to the coordinate system of its corresponding Hough transform parameter space. The resulting unification of iconic and Hough domains simplifies computation for line recognition and eliminates the slope quantization problems inherent in the classical Cartesian Hough transform. The geometric organization of the algorithm is more amenable to massively parallel architectures than that of the Cartesian version. The neural architecture of the human visual cortex meets the geometric requirements to execute "in-place" log-Hough algorithms of the kind described here.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Carl F. R. Weiman, "Polar Exponential Sensor Arrays Unify Iconic and Hough Space Representation", Proc. SPIE 1192, Intelligent Robots and Computer Vision VIII: Algorithms and Techniques, (1 March 1990); doi: 10.1117/12.969796; https://doi.org/10.1117/12.969796
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KEYWORDS
Hough transforms

Image processing

Computer vision technology

Machine vision

Robot vision

Detection and tracking algorithms

Robots

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