Advances in Visual Computing: 5th International Symposium, by George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin,

By George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Yoshinori Kuno, Junxian Wang, Renato Pajarola, Peter Lindstrom, Andre Hinkenjann, Miguel L. Encarnacao

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Additional resources for Advances in Visual Computing: 5th International Symposium, ISVC 2009, Las Vegas, NV, USA, November 30 - December 2, 2009, Proceedings, Part I (Lecture ... Vision, Pattern Recognition, and Graphics)

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Haidar Sharif and Chabane Djeraba Two Algorithms for Measuring Human Breathing Rate Automatically . . . . . . . . . . . . . . . . . . . . . . . . . . Tomas Lampo, Javier Sierra, and Carolina Chang 674 686 Biometric Recognition: When Is Evidence Fusion Advantageous? . . . Hugo Proen¸ca 698 Interactive Image Inpainting Using DCT Based Exemplar Matching . . L. Wang 709 Noise-Residue Filtering Based on Unsupervised Clustering for Phase Unwrapping . . . . . . . .

Genç and V. Atalay centroid distance signature is significantly better than the others. Therefore, we use centroid signature of the boundary. To calculate FDs of a boundary, the following steps are pursued. 1. Calculate the centroid of the hand shape boundary 1 2. 1 Convert each boundary point (xk,yk) to centroid distance rk, , 3. 1 Use Fourier Transform to obtain FDs. 1 4. ,N-1 are Fourier coefficients. Calculated FDs are translation invariant since centroid distance is relative to the centroid.

Abhinav Dhall, Gaurav Sharma, Rajen Bhatt, and Ghulam Mohiuddin Khan An Instability Problem of Region Growing Segmentation Algorithms and Its Set Median Solution . . . . . . . . . . . . . . . . . . . . Lucas Franek and Xiaoyi Jiang 719 728 737 Distance Learning Based on Convex Clustering . . . . . . . . . . . Xingwei Yang, Longin Jan Latecki, and Ari Gross 747 Group Action Recognition Using Space-Time Interest Points . . . . . Qingdi Wei, Xiaoqin Zhang, Yu Kong, Weiming Hu, and Haibin Ling 757 Adaptive Deblurring for Camera-Based Document Image Processing .

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