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Advances in Visual Computing: 10th International Symposium, by George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin,

By George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Ryan McMahan, Jason Jerald, Hui Zhang, Steven Drucker, Kambhamettu Chandra, El Choubassi Maha, Zhigang Deng, Mark Carlson

The 2 quantity set LNCS 8887 and 8888 constitutes the refereed court cases of the tenth foreign Symposium on visible Computing, ISVC 2014, held in Las Vegas, NV, united states. The seventy four revised complete papers and fifty five poster papers offered including 39 designated music papers have been rigorously reviewed and chosen from greater than 280 submissions. The papers are prepared in topical sections: half I (LNCS 8887) includes computational bioimaging, special effects; movement, monitoring, function extraction and matching, segmentation, visualization, mapping, modeling and floor reconstruction, unmanned independent platforms, scientific imaging, monitoring for human job tracking, clever transportation platforms, visible conception and robot structures. half II (LNCS 8888) contains themes similar to computational bioimaging , attractiveness, laptop imaginative and prescient, functions, face processing and popularity, digital truth, and the poster periods.

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Extra resources for Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part I (Lecture Notes in Computer Science)

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Recently, it has been demonstrated that box splines are particularly suitable for the choice of basis functions for tomographic reconstruction [12]. Box splines are multivariate generalization of B-splines that include tensor-product B-splines as special case, but are generally non-separable [13]. It was demonstrated that the space of box splines is closed under Radon and X-ray transforms [14]. Therefore, one can use higher order methods for improving the accuracy of reconstruction [12] and reduction of approximation error introduced by discretization.

Serestina Viriri 820 Improving Human Gait Recognition Using Feature Selection . . . . . . Faezeh Tafazzoli, George Bebis, Sushil Louis, and Muhammad Hussain Automatic Recognition of Microcalcifications in Mammography Images through Fractal Texture Analysis . . . . . . . . . . . . . . . . . ´ Hern´ an Dar´ıo Vargas Cardona, Alvaro Orozco, ´ and Mauricio A. Alvarez Bayesian Shape Models with Shape Priors for MRI Brain Segmentation .

2835 (c) (d) Fig. 1. (a) Multispectral image composed by T1, T2 and PD weighted MR of the brain, (b) Multispectral image of color atlas of the brain, (c) Superposed images before registration, (d) Superposed images after registration image. Then, the registration was performed using the proposed MSEMRR and a classical multimodal registration algorithm based on mutual information optimized by an evolutionary strategy (MIES), which is usually used with gray scale images [25]. In order to apply the MIES, before registration both RGB images (atlas and MRI) were converted to gray scales images for comparison purposes.

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