Download e-book for iPad: Advances in Image and Video Technology: Third Pacific Rim by Maria De Marsico, Michele Nappi, Daniel Riccio (auth.),

By Maria De Marsico, Michele Nappi, Daniel Riccio (auth.), Toshikazu Wada, Fay Huang, Stephen Lin (eds.)

ISBN-10: 3540929568

ISBN-13: 9783540929567

ISBN-10: 3540929576

ISBN-13: 9783540929574

This e-book constitutes the refereed court cases of the 3rd Pacific Rim Symposium on snapshot and Video know-how, PSIVT 2008, held in Tokyo, Japan, in January 2009.

The 39 revised complete papers and fifty seven posters have been conscientiously reviewed and chosen from 247 submissions. The symposium positive aspects eight significant issues together with all elements of photo and video know-how: photo sensors and multimedia undefined; pictures and visualization; picture and video research; acceptance and retrieval; multi-view imaging and processing; machine imaginative and prescient functions; video communications and networking; and multimedia processing. The papers are prepared in topical sections on faces and pedestrians; panoramic photos; neighborhood snapshot research; association and grouping; multiview geometry; detection and monitoring; computational images and forgeries; coding and steganography; popularity and seek; and reconstruction and visualization.

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Extra resources for Advances in Image and Video Technology: Third Pacific Rim Symposium, PSIVT 2009, Tokyo, Japan, January 13-16, 2009. Proceedings

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IEEE Transactions on Pattern Analysis and Machine Intelligence 24(6), 764–779 (2002) 5. : Face recognition using artificial neural network group-based adaptive tolerance (GAT) trees. IEEE Transactions on Neural Networks 7(3), 555– 567 (1996) 6. : Face Identification by a Cascade of Rejection Classifiers. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 20-26 June, vol. 3, p. 152 (2005) 7. : Wavelet-based illumination normalization for face recognition. In: IEEE International Conference on Image Processing, ICIP 2005, 11-14 September, vol.

CoHOG can express shapes in more detail than HOG, which uses single gradient orientation. Benchmark results on two famous datasets: DaimlerChrysler pedestrian classification benchmark dataset and INRIA person data set, show the effectiveness of our method. The rest of this paper is organized as follows: Section 2 explains the outline of our pedestrian detection approach; Section 3 briefly explains HOG, and then describes our feature descriptor; Section 4 shows experimental results on two benchmark datasets; The final section is the conclusion.

Experimental results show how a high interconnection degree improves the global system performances in terms of accuracy. Along this line, we can set suitable extensions to properly multimodal systems [11]. 12 M. De Marsico, M. Nappi, and D. Riccio References 1. : Face recognition: component-based versus global approaches. Computer Vision and Image Understanding 91, 6–21 (2003) 2. : A hierarchical face identification system based on facial components. In: Proceedings of the IEEE/ACS International Conference on Computer Systems and Applications, pp.

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Advances in Image and Video Technology: Third Pacific Rim Symposium, PSIVT 2009, Tokyo, Japan, January 13-16, 2009. Proceedings by Maria De Marsico, Michele Nappi, Daniel Riccio (auth.), Toshikazu Wada, Fay Huang, Stephen Lin (eds.)


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