Reduction of computational complexity of hough transforms using a convolution approach

2009 24th International Conference Image and Vision Computing New Zealand, IVCNZ 2009 - Conference Proceedings

Volumn , Issue , 2009, Pages 373-378

  Hollitt, Christopher ^a  

^a VICTORIA UNIVERSITY OF WELLINGTON   (New Zealand)

Author keywords

[No Author keywords available]

Indexed keywords

CIRCLE HOUGH TRANSFORMS; COMPLEX OBJECTS; CONVOLUTION APPROACH; GEOMETRIC OBJECTS; NEW APPROACHES; REAL-TIME APPLICATION; ROBOT VISION;

COMPUTATIONAL COMPLEXITY; COMPUTER VISION; CONVOLUTION; FAST FOURIER TRANSFORMS;

HOUGH TRANSFORMS;

EID: 77951175134     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IVCNZ.2009.5378379     Document Type: Conference Paper

References (6)

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3. T. J. Atherton and D. J. Kerbyson, "Size invariant circle detection," Image and Vision Computing, vol. 17, no. 11, pp. 795-803, 1999.
4. D. Ballard, "Generalizing the hough transform to detect arbitrary shapes," Pattern Recognition, vol. 13, no. 2, pp. 111-122, 1981.
5. D. Kerbyson and T. Atherton, "Circle detection using hough transform filters," in Image Processing and its Applications, 1995., Fifth International Conference on, 1995, pp. 370-374.
6. K. G. Shapiro and G. C. Stockman, Computer Vision. Prentice Hall, 2001.