Advances in Visual Computing: 8th International Symposium, by Heinz Hofbauer, Christian Rathgeb, Andreas Uhl, Peter Wild

By Heinz Hofbauer, Christian Rathgeb, Andreas Uhl, Peter Wild (auth.), George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Charless Fowlkes, Sen Wang, Min-Hyung Choi, Stephan Mantler, Jürgen Schulze, Daniel Acevedo, Klaus Mueller, Michael Papka (eds.)

The quantity set LNCS 7431 and 7432 constitutes the refereed complaints of the eighth foreign Symposium on visible Computing, ISVC 2012, held in Rethymnon, Crete, Greece, in July 2012. The sixty eight revised complete papers and 35 poster papers provided including forty five specified music papers have been rigorously reviewed and chosen from greater than 2 hundred submissions. The papers are equipped in topical sections: half I (LNCS 7431) contains computational bioimaging; special effects; calibration and 3D imaginative and prescient; item popularity; illumination, modeling, and segmentation; visualization; 3D mapping, modeling and floor reconstruction; movement and monitoring; optimization for imaginative and prescient, portraits, and clinical imaging, HCI and popularity. half II (LNCS 7432) contains subject matters akin to unconstrained biometrics: advances and tendencies; clever environments: algorithms and functions; functions; digital fact; face processing and recognition.

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Extra resources for Advances in Visual Computing: 8th International Symposium, ISVC 2012, Rethymnon, Crete, Greece, July 16-18, 2012, Revised Selected Papers, Part II

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Andreas Maier 566 An Optimization Based Framework for Human Pose Estimation in Monocular Videos . . . . . . . . . . . . . . . . . . . . . . . Priyanshu Agarwal, Suren Kumar, Julian Ryde, Jason J. Corso, and Venkat N. Krovi 575 XXXVI Table of Contents – Part I Solving MRF Minimization by Mirror Descent . . . . . . . . . . . . N. Luong, Panos Parpas, Daniel Rueckert, and Ber¸c Rustem 587 Similarity Registration for Shapes Based on Signed Distance Functions .

33% for PSNR is clearly the better alternative. Considering recognition accuracy image metrics do not outperform feature-based techniques [2]. For instance, on the same dataset re-implementations of the approaches of Ma et al. [10] and Ko et al. 36%, respectively (see Table 1). However, image metrics are rather useful as additional features in fusion scenarios. 2 How Useful Is Texture Enhancement and Preprocessing? In a second experiment, we tested the effect of texture enhancement and segmentation on iris recognition accuracy of quality metrics using PSNR as reference metric.

Ricardo Galego, Alexandre Bernardino, and Jos´e Gaspar 169 Robust 2D/3D Calibration Using RANSAC Registration . . . . . . . Billy Ray Fortenbury and Gutemberg Guerra-Filho 179 Object Recognition Keypoint Detection Based on the Unimodality Test of HOGs . . . . . A. Cata˜ no and J. Climent 189 Non-rigid and Partial 3D Model Retrieval Using Hybrid Shape Descriptor and Meta Similarity . . . . . . . . . . . . . . . . . . Bo Li, Afzal Godil, and Henry Johan 199 Large Scale Sketch Based Image Retrieval Using Patch Hashing .

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