"local rank differences" image feature implemented on GPU

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5259 LNCS, Issue , 2008, Pages 170-181

  Polok, Lukáš ^a   Herout, Adam ^a   Zemčík, Pavel ^a   Hradiš, Michal ^a   Juránek, Roman ^a   Jošth, Radovan ^a  

^a BRNO UNIVERSITY OF TECHNOLOGY   (Czech Republic)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE BOOSTING; CLASSIFICATION (OF INFORMATION); COMPUTER GRAPHICS EQUIPMENT; COMPUTER VISION; OBJECT DETECTION;

AMOUNT OF INFORMATION; EMPIRICAL PERFORMANCE; GRAPHICS HARDWARE; ITS EVALUATION; LOW-LEVEL IMAGE FEATURES; RANK DIFFERENCES; SPEED PERFORMANCE; STATISTICAL CLASSIFIER;

GRAPHICS PROCESSING UNIT;

EID: 57049120544     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88458-3_16     Document Type: Conference Paper

References (11)

1. General-Purpose Computation on GPUs, (April 14, 2008) http: //www.gpgpu.org
2. Kadir, T., Brady, M.: Saliency, Scale and Image Description. International Journal of Computer Vision 45(2) (November 2001)
3. Lienhart, R., Maydt, J.: An extended set of Haar-like features for rapid object detection. In: ICIP 2002, pp. I: 900-903 (2002)
4. Michel, P., et al.: GPU-accelerated Real-Time 3D Tracking for Humanoid Locomotion and Stair Climbing. In: Proceedings of the 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems (2007)
5. Ojala, T., Pietikäinen, M., Mäenpää, T.: Gray scale and rotation invariant texture classification with local binary patterns. In: Vernon, D. (ed.) ECCV 2000. LNCS, vol. 1842, pp. 404-420. Springer, Heidelberg (2000)
6. Schapire, R., Singer, Y.: Improved boosting algorithms using confidence-rated predictions. Machine Learning 37(3), 297-336 (1999)
7. Sinha, S.N., Frahm, J.M., Pollefeys, M., Gene, Y.: GPU-based Video Feature Tracking And Matching, Technical Report TR 06-012, Department of Computer Science, UNC Chapel Hill (May 2006)
8. Šochman, J., Matas, J.: WaldBoost - Learning for Time Constrained Sequential Detection. In: 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), vol. 2 (2005)
9. Šochman, J., Matas, J.: Learning A Fast Emulator of a Binary Decision Process. In: Yagi, Y., Kang, S.B., Kweon, LS., Zha, H. (eds.) ACCV 2007, Part II. LNCS, vol. 4844, pp. 236-245. Springer, Heidelberg (2007)
10. Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: CVPR (2001)
11. Zemčík, P., Hradiš, M., Herout, A.: Local Rank Differences - Novel Features for Image Processing. In: Proceedings of SCCG 2007, Budmerice, SK, pp. 1-12 (2007)