Polar Exponential Sensor Arrays Unify Iconic and Hough Space Representation
| Autor: | Carl F. R. Weiman |
|---|---|
| Rok vydání: | 1990 |
| Předmět: |
Computer science
business.industry Coordinate system ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Astrophysics::Instrumentation and Methods for Astrophysics Image processing law.invention Hough transform ComputingMethodologies_PATTERNRECOGNITION law Computer Science::Computer Vision and Pattern Recognition Line (geometry) Cartesian coordinate system Computer vision Artificial intelligence Polar coordinate system Quantization (image processing) business Algorithm |
| Zdroj: | Intelligent Robots and Computer Vision VIII: Algorithms and Techniques. |
| ISSN: | 0277-786X |
| DOI: | 10.1117/12.969796 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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