Feature detection and matching on an SIMD/MIMD hybrid embedded processor

IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops

Volumn , Issue , 2012, Pages 21-26

  Nieto, A ^a   Vilarino D L ^a   Brea, V M ^a  

^a University of Santiago de Compostela ^*  (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

CO-PROCESSORS; COMPUTATION MODE; EMBEDDED PROCESSORS; FEATURE DETECTION AND MATCHING; SYSTEM ON CHIPS; VISION SYSTEMS;

ALGORITHMS; APPLICATION SPECIFIC INTEGRATED CIRCUITS; EMBEDDED SYSTEMS; IMAGE MATCHING; RECONFIGURABLE ARCHITECTURES;

COMPUTER VISION;

EID: 84865025485     PISSN: 21607508     EISSN: 21607516     Source Type: Conference Proceeding    
DOI: 10.1109/CVPRW.2012.6238890     Document Type: Conference Paper

References (5)

1. A. Nieto, D. Vilariño, and V. Brea, "Towards the optimal hardware architecture for Computer Vision," in Machine Vision - Applications and Systems. InTech, 2011.
2. A. Nieto, D. Vilariño and V. Brea, "SIMD/MIMD dynamically-reconfigurable architecture for highperformance embedded vision systems," in 23rd IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP 2012), July 2012.
3. M. Nixon and A. Aguado, Feature extraction and image processing. Academic Press, 2008.
4. S. Taylor and T. Drummond, "Binary histogrammed intensity patches for efficient and robust matching," International journal of computer vision, pp. 1-25, 2011.
5. L. Juan and O. Gwun, "A comparison of SIFT, PCA-SIFT and SURF," International Journal of Image Processing, vol. 3, no. 4, pp. 143-152, 2009.