Efficient rotation-discriminative template matching

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

Volumn 4756 LNCS, Issue , 2007, Pages 221-230

  Marimon, David ^a   Ebrahimi, Touradj ^a  

^a EPFL   (Switzerland)

Author keywords

Gradient; Histogram; Matching; Rotation; Template

Indexed keywords

GRADIENT METHODS; HIERARCHICAL SYSTEMS; PROBABILITY; SEARCH ENGINES;

HIERARCHICAL SEARCH; HISTOGRAMS;

TEMPLATE MATCHING;

EID: 38449119169     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper

References (12)

1. Lewis, J.: Fast template matching. Vision Interface, 120-123 (1995)
2. Hager, G., Belhumeur, P.: Real-time tracking of image regions with changes in geometry and illumination, In: Computer Vision and Pattern Recognition (CVPR), pp. 403-410 (1996)
3. Comaniciu, D., Ramesh, V., Meer, P.: Kernel-based object tracking. IEEE Trans. on Pattern Analysis and Machine Intelligence 25(5), 564-577 (2003)
4. Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: Computer Vision and Pattern Recognition (CVPR). vol. 1, pp. 511-518 (2001)
5. Mikolajczyk, K., Schmid, C.: A performance evaluation of local descriptors. IEEE Trans. on Pattern Analysis and Machine Intelligence 27(10), 1615-1630 (2005)
6. Fredriksson, K., Ukkonen, E.: Faster template matching without FFT. In: Intl. Conf. on Image Processing (ICIP). vol. 1, pp. 678-681 (2001)
7. Lowe, D.: Distinctive image features from scale-invariant keypoints. Intl. Journal of Computer Vision 60(2), 91-110 (2004)
8. Haralick, R., Shanmugam, K., Dinstein, I.: Textural features for image classification. IEEE Trans, on Systems, Man and Cybernetics 3(6), 610-621 (1973)
9. Ullah, F., Kaneko, S.: Using orientation codes for rotation-invariant template matching. Pattern Recognition 37(2), 201-209 (2004)
10. Porikli, F.: Integral histogram: a fast way to extract histograms in cartesian space. In: Computer Vision and Pattern Recognition (CVPR). vol. 1, pp. 829-836 (2005)
11. Visual Geometry Group, Robotics Research Group, Department of Engineering Science, University of Oxford, http://www.robots.ox.ac.uk/~vgg/data.html
12. Harris, C., Stephens, M.: A combined corner and edge detector. In: Alvey Vision Conf. pp. 147-151 (1988)