Download Computer Vision - ACCV 2014 Workshops: Singapore, Singapore, by C. V. Jawahar, Shiguang Shan PDF

By C. V. Jawahar, Shiguang Shan

The three-volume set, inclusive of LNCS 9008, 9009, and 9010, includes rigorously reviewed and chosen papers awarded at 15 workshops held along side the twelfth Asian convention on computing device imaginative and prescient, ACCV 2014, in Singapore, in November 2014. The 153 complete papers awarded have been chosen from a number of submissions. LNCS 9008 includes the papers chosen for the Workshop on Human Gait and motion research within the Wild, the second one overseas Workshop on enormous info in 3D laptop imaginative and prescient, the Workshop on Deep studying on visible facts, the Workshop on Scene figuring out for self sufficient structures, and the Workshop on strong neighborhood Descriptors for desktop imaginative and prescient. LNCS 9009 includes the papers chosen for the Workshop on rising themes on picture recovery and Enhancement, the 1st foreign Workshop on powerful analyzing, the second one Workshop on User-Centred computing device imaginative and prescient, the foreign Workshop on Video Segmentation in machine imaginative and prescient, the Workshop: My motor vehicle Has Eyes: clever car with imaginative and prescient expertise, the 3rd Workshop on E-Heritage, and the Workshop on desktop imaginative and prescient for Affective Computing. LNCS 9010 comprises the papers chosen for the Workshop on characteristic and Similarity for laptop imaginative and prescient, the 3rd overseas Workshop on clever cellular and selfish imaginative and prescient, and the Workshop on Human id for Surveillance.

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Additional info for Computer Vision - ACCV 2014 Workshops: Singapore, Singapore, November 1-2, 2014, Revised Selected Papers, Part III

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IEEE Trans. Pattern Anal. Mach. Intell. 30, 1503–1504 (2008) 29. : In defense of sparsity based face recognition. In: 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 399–406. IEEE (2013) 30. : Recognition of blurred faces using local phase quantization. In: 19th International Conference on Pattern Recognition, ICPR 2008, pp. 1–4. IEEE (2008) 31. : Blur insensitive texture classification using local phase quantization. , Mammass, D. ) ICISP 2008 2008. LNCS, vol. 5099, pp.

In: 19th International Conference on Pattern Recognition, ICPR 2008, pp. 1–4. IEEE (2008) 31. : Blur insensitive texture classification using local phase quantization. , Mammass, D. ) ICISP 2008 2008. LNCS, vol. 5099, pp. 236–243. Springer, Heidelberg (2008) 32. : A blur-robust descriptor with applications to face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 34, 1220–1226 (2012) 33. : Multidimensional Scaling. CRC Press, Boca Raton (2000) 34. : Multidimensional scaling by iterative majorization using radial basis functions.

Comparision of ROC curves. Table 1. Comparison of methods with and without MDS. 01. And the AUC values are based on the ROC curve shown in Fig. 989 considered sharp. We choose 10001 images of 1001 individuals from subset ‘fa’ as the gallery set. Meanwhile, their corresponding images in ‘fb’ subset are selected to build up the target set, which have been filtered with Gaussian blur and added with 30 dB Gaussian white noise. It should be mentioned that Gopalan et al. [32] improperly set the filter sizes to be the same (hsize = 5) for different standard deviations, while in fact, the filter size should increase with the standard deviation.

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