Fondazione Bruno Kessler - Technologies of Vision

contains material from
Template Matching Techniques in Computer Vision: Theory and Practice
Roberto Brunelli © 2009 John Wiley & Sons, Ltd

Bibliography

[1]   T Ahonen, A Hadid, and M Pietikainen. Face description with local binary patterns: Application to face recognition. IEEE Trans. on Pattern Analysis and Machine Intelligence, 28:2037–2041, 2006.
http://dx.doi.org/10.1109/TPAMI.2006.244.

[2]   BJ Balas and P Sinha. Region-based representations for face recognition. ACM Transactions on Applied Perception, 3:354–375, 2006.
http://dx.doi.org/http://doi.acm.org/10.1145/1190036.1190038.

[3]   DN Bhat and SK Nayar. Ordinal measures for image correspondence. IEEE Trans. on Pattern Analysis and Machine Intelligence, 20:415–423, 1998.
http://dx.doi.org/10.1109/34.677275.

[4]   FA Cheikh, B Cramariuc, M Partio, P Reijonen, and M Gabbouj. Evaluation of shape correspondence using ordinal measures. In Proc. of SPIE, volume 4676, pages 22–30, 2001.
http://dx.doi.org/10.1117/12.451097.

[5]   FA Cheikh, B Cramariuc, M Partio, P Reijonen, and M Gabbouj. Ordinal-measure based shape correspondence. EURASIP Journal on Applied Signal Processing, 2002:362–371, 2002.
http://dx.doi.org/10.1155/S111086570200077X.

[6]   C Croux and C Dehon. Robustness versus efficiency for nonparametric correlation measures. ECARES Working Papers 2008_002, Université Libre de Bruxelles, Ecares, 2008.

[7]   B Cyganek. Computational framework for family of order statistic filters for tensor valued data. In Proc. of the International Conference on Image Analysis and Recognition, volume 1, pages 156–162, 2006.
http://dx.doi.org/10.1007/11867586.

[8]   B Cyganek. Matching of the multi-channel images with improved nonparametric transformations and weighted binary distance measures. In Proc. of the 11th International Workshop on Combinatorial Image Analysis (IWCIA 2006), volume 4040 of Lecture Notes in Computer Science, pages 74–88. Springer, 2006.
http://dx.doi.org/10.1007/11774938_7.

[9]   B Cyganek and J Borgosz. Fuzzy nonparametric measures for image matching. In Proc. of the 7th International Conference Artificial Intelligence and Soft Computing (ICAISC 2004), volume 3070 of Lecture Notes in Computer Science, pages 712–717. Springer, 2004.
http://dx.doi.org/10.1007/b98109.

[10]   T Darrell. A radial cumulative similarity transform for robust image correspondence. In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR’98), pages 656–662, 1998.
http://dx.doi.org/10.1109/CVPR.1998.698674.

[11]   T Darrell and M Covell. Correspondence with cumulative similiarity transforms. IEEE Trans. on Pattern Analysis and Machine Intelligence, 23:222–227, 2001.
http://dx.doi.org/10.1109/34.908973.

[12]   AN Evans. On the use of ordinal measures for cloud tracking. Int. J. of Remote Sensing, 21:1939–1944, 2000.
http://dx.doi.org/10.1080/014311600209850.

[13]   B Froba and A Ernst. Face detection with the modified census transform. In Proc. of the 6th International Conference on Automatic Face and Gesture Recognition (FG’04), pages 91–96, 2004.
http://dx.doi.org/10.1109/AFGR.2004.1301514.

[14]   RA Gideon and RA Hollister. A rank correlation coefficient resistant to outliers. J. of the American Statistical Association, 82:656–666, 1987.
http://dx.doi.org/10.2307/2289479.

[15]   XS Hua, X Chen, and HJ Zhang. Robust video signature based on ordinal measure. In Proc. of the International Conference on Image Processing (ICIP’04), volume 1, pages 685–688, 2004.
http://dx.doi.org/10.1109/ICIP.2004.1418847.

[16]   A Just, Y Rodriguez, and M Marcel. Hand posture classification and recognition using the modified census transform. In Proc. of the 7th International Conference on Automatic Face and Gesture Recognition (FG’06), pages 351–356, 2006.
http://dx.doi.org/10.1109/FGR.2006.62.

[17]   M Khosravi and RW Schafer. Template matching based on a grayscale hit-or-miss transform. IEEE Trans. on Image processing, 5:1060–1066, 1996.
http://dx.doi.org/10.1109/83.503921.

[18]   A Koloydenko and D Geman. Ordinal coding of image microstructure. In Proc. of the International Conference on Image Processing, Computer Vision, & Pattern Recognition, volume 2, pages 613–620, 2006.

[19]   A Mittal and V Ramesh. An intensity-augmented ordinal measure for visual correspondence. In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR’06), volume 1, pages 849–856, 2006.
http://dx.doi.org/10.1109/CVPR.2006.56.

[20]   Y Rodriguez and S Marcel. Face authentication using adapted local binary pattern histograms. In Proc. of the 9th European Conference on Computer Vision (ECCV’06), pages 321–332, 2006.
http://dx.doi.org/10.1007/11744085_25.

[21]   J Sadr, S Mukherjee, K Thoresz, and P Sinha. The fidelity of local ordinal encoding. In Proc. of Advances in Neural Information Processing Systems, volume 14, pages 1279–1286, 2002.

[22]   S Scherer, P Werth, and A Pinz. The discriminatory power of ordinal measures - towards a new coefficient. In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR’99), volume 1, pages 1076–1081, 1999.
http://dx.doi.org/10.1109/CVPR.1999.786920.

[23]   D Schonfeld. On the relation of order-statistics filters and template matching: optimal morphological pattern recognition. IEEE Trans. on Image processing, 9:945–949, 2000.
http://dx.doi.org/10.1109/83.841540.

[24]   P Sinha. Qualitative representations for recognition. In Proc. of the 2nd International Workshop on Biologically Motivated Computer Vision, volume 2525 of Lecture Notes in Computer Science, pages 249–262. Springer, 2002.

[25]   F Smeraldi. A nonparametric approach to face detection using ranklets. In Proc. of the 4th International Conference on Audio-and Video-Based Biometric Person Authentication, volume 2688 of Lecture Notes in Computer Science, pages 351–359. Springer, 2003.

[26]   Z Sun, T Tan, and Y Wang. Robust encoding of local ordinal measures: A general framework of iris recognition. In Proc. of the ECCC’04 International Workshop on Biometric Authentication, volume 3087 of Lecture Notes in Computer Science, pages 270–282. Springer, 2004.

[27]   Z Sun, T Tan, Y Wang, and SZ Li. Ordinal palmprint represention for personal identification. In Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR’05), volume 1, pages 279–284, 2005.
http://dx.doi.org/10.1109/CVPR.2005.267.

[28]   R Tjahyadi, L Wanquan, A Senjian, and S Venkatesh. Face recognition based on ordinal correlation approach. In Proc. of the International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP2005), pages 349–354, 2005.

[29]   R Zabih and J Woodfill. Non-parametric local transforms for computing visual correspondence. In Proc. of the 3rd European Conference on Computer Vision (ECCV’94), volume 801 of Lecture Notes in Computer Science, pages 151–158. Springer, 1994.