Advances in Visual Computing: 9th International Symposium, by Margarida Ruela, Catarina Barata, Jorge S. Marques (auth.),

By Margarida Ruela, Catarina Barata, Jorge S. Marques (auth.), George Bebis, Richard Boyle, Bahram Parvin, Darko Koracin, Baoxin Li, Fatih Porikli, Victor Zordan, James Klosowski, Sabine Coquillart, Xun Luo, Min Chen, David Gotz (eds.)

The quantity units LNCS 8033 and 8034 constitutes the refereed lawsuits of the ninth foreign Symposium on visible Computing, ISVC 2013, held in Rethymnon, Crete, Greece, in July 2013. The sixty three revised complete papers and 35 poster papers provided including 32 unique song papers have been conscientiously reviewed and chosen from greater than 220 submissions. The papers are equipped in topical sections: half I (LNCS 8033) includes computational bioimaging; special effects; movement, monitoring and popularity; segmentation; visualization; 3D mapping, modeling and floor reconstruction; function extraction, matching and popularity; sparse equipment for laptop imaginative and prescient, photos and clinical imaging; and face processing and popularity. half II (LNCS 8034) includes issues reminiscent of visualization; visible computing with multimodal info streams; visible computing in electronic cultural background; clever environments: algorithms and functions; functions and digital reality.

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Extra info for Advances in Visual Computing: 9th International Symposium, ISVC 2013, Rethymnon, Crete, Greece, July 29-31, 2013. Proceedings, Part I

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Petr Horejsi and Jiri Polcar 737 Evaluating 3D Vision for Command and Control Applications . . . . . Britton Wolfe, Beomjin Kim, Benjamin Aeschliman, and Robert Sedlmeyer 747 Author Index . . . . . . . . . . . . . . . . . . . . . . . . . 757 What Is the Role of Color Symmetry in the Detection of Melanomas? Margarida Ruela, Catarina Barata, and Jorge S. Marques Institute for Systems and Robotics, Instituto Superior Tecnico, Lisboa, Portugal Abstract. Several computer aided diagnosis (CAD) systems have been proposed to detect melanomas in dermoscopy images.

Its first step is the segmentation of pharyngeal structures. In this paper, we present a minimally interactive approach for pharynx segmentation from MR data. Our method is fast and allows one to process each subject in less than a minute. The paper is organized as follows. We give an overview of related works in Section 2. The data used in this study is described in Section 3. Then, we present G. Bebis et al. ): ISVC 2013, Part I, LNCS 8033, pp. 20–29, 2013. c Springer-Verlag Berlin Heidelberg 2013 Pharynx Segmentation from MRI Data for Analysis 21 our pipeline in Section 4.

757 What Is the Role of Color Symmetry in the Detection of Melanomas? Margarida Ruela, Catarina Barata, and Jorge S. Marques Institute for Systems and Robotics, Instituto Superior Tecnico, Lisboa, Portugal Abstract. Several computer aided diagnosis (CAD) systems have been proposed to detect melanomas in dermoscopy images. Most of them rely on the extraction of several types of visual features: color, texture and shape. However, the role of each type of feature is seldom assessed. This paper proposes several features for the analysis of color symmetry in skin lesions and assesses their performance under a wide variety of system configurations.

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