A new self-adapting architecture for feature detection

Proceedings - 22nd International Conference on Field Programmable Logic and Applications, FPL 2012

Volumn , Issue , 2012, Pages 643-646

  Possa, Paulo Da Cunha ^a   Mahmoudi, Sidi Ahmed ^a   Harb, Naim ^a   Valderrama, Carlos ^a  

^a UNIVERSITY OF MONS   (Belgium)

Author keywords

[No Author keywords available]

Indexed keywords

CANNY EDGE DETECTORS; FEATURE DETECTION; HARRIS CORNER DETECTOR; MATHEMATICAL COMPLEXITY; MEMORY REQUIREMENTS; NEIGHBOURHOOD; ON-THE-FLY; SELF-ADAPT; SELF-ADAPTING ARCHITECTURES; VARIABLE RESOLUTION;

MEMORY ARCHITECTURE;

EID: 84870672108     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FPL.2012.6339230     Document Type: Conference Paper

References (4)

1. R. Szeliski, Computer Vision: Algorithms and Applications. Springer London, 2011.
2. P. Hsiao, C. Lu, and L. Fu, "Multilayered image processing for multiscale harris corner detection in digital realization," IEEE Transactions on Industrial Electronics, vol. 57, no. 5, pp. 1799-1805, May 2010.
3. Q. Xu, C. Chakrabarti, and L. J. Karam, "A distributed canny edge detector and its implementation on FPGA," in Digital Signal Processing Workshop and IEEE Signal Processing Education Workshop (DSP/SPE), 2011 IEEE. IEEE, Jan. 2011, pp. 500-505.
4. T. R. Savarimuthu, A. Kjr-Nielsen, and A. S. Srensen, "Real-time medical video processing, enabled by hardware accelerated correlations," Journal of Real-Time Image Processing, vol. 6, no. 3, pp. 187-197, Dec. 2010.