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 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 targeted tune papers have been conscientiously reviewed and chosen from greater than 280 submissions. The papers are geared up in topical sections: half I (LNCS 8887) contains 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 structures, visible notion and robot platforms. half II (LNCS 8888) includes issues corresponding to computational bioimaging , attractiveness, desktop imaginative and prescient, functions, face processing and popularity, digital fact, and the poster sessions.

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Additional info for Advances in Visual Computing: 10th International Symposium, ISVC 2014, Las Vegas, NV, USA, December 8-10, 2014, Proceedings, Part I

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Chunling Fan, Yonggang Zhao, and Liangbing Feng 347 A Haptic-Based Application for Active Exploration of Facial Expressions by the Visually Impaired . . . . . . . . . . . . . . . . Shamima Yasmin, Troy McDaniel, and Sethuraman Panchanathan 357 Poster Session Affine Invariant Harris-Bessel Interest Point Detector . . . . . . . . . Sasan Mahmoodi and Nasim Saba 367 Layered Depth Image Based HEVC Multi-view Codec . . . . . . . . S. Kirshanthan, L. D. P. X. A. Pasqual 376 On Detectability of Moroccan Coastal Upwelling in Sea Surface Temperature Satellite Images .

Moreover, the experiments suggest that learning higher order spline representations in terms of adaptive dictionaries is more effective compared to enforcing sparsity in wavelet domain. References 1. : Sparse mri: The application of compressed sensing for rapid mr imaging. Magnetic resonance in medicine 58, 1182–1195 (2007) 2. : Why do commercial CT scanners still employ traditional, filtered back-projection for image reconstruction? Inverse Problems 25, 123009 (2009) 10 E. Sakhaee and A. Entezari 3.

This intuitively means that projection of an image represented in box spline basis, as in (1), is obtained by linear combination of shifted projections of the basis function Pθ (ϕ) weighted by the image domain coefficients cn . Fig. 1(left) shows Radon transform of a bivariate function f (x) along the direction θ. Fig. 1. Radon Transform of the bivariate function f (x) (left) and first-order box spline basis (right) along direction θ Given analytical form of projection of box splines, Pθ (ϕ) (see Fig.

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