Maria De Marsico, Michele Nappi, Daniel Riccio (auth.),'s Advances in Image and Video Technology: Third Pacific Rim PDF

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 lawsuits of the 3rd Pacific Rim Symposium on photograph and Video know-how, PSIVT 2008, held in Tokyo, Japan, in January 2009.

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

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Read Online or Download Advances in Image and Video Technology: Third Pacific Rim Symposium, PSIVT 2009, Tokyo, Japan, January 13-16, 2009. Proceedings PDF

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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

Example text

Axnick, R. C. Ng that with 4 or 5 cameras running at 25 frames per second and hundreds of people objects constantly entering and exiting the scene at random intervals, that the “to do” list can grow extremely rapidly. Only when a person is recognized using our face recognition methods (SFP and PCA), are their image captures removed from the “to do” list. This environment lets us test many hypotheses. Of note however is the effect of changing the maximum population allowed in the scene and the effect of FQR assistance when the recognition methods’ speeds were varied.

312–317 (1998) 2. : Video-based framework for face recognition in video. In: The 2nd Canadian Conference on Computer and Robot Vision. Proceedings, 9-11 May 2005, pp. 330–338 (2005) 3. : The Pattern Recognition Basis of Artificial Intelligence, 388 pages. Wiley-IEEE Computer Society Press (1998) 4. : Face recognition using line edge map. 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.

7. The effect that the speed of the face recognition component of the system has on the overall system’s recognition rate Fig. 8. The effect that the speed of the face recognition component of the system has on the overall system’s recognition speed Using Face Quality Ratings to Improve Real-Time Face Recognition 4 23 Conclusion We developed and tested the use of a novel approach for improving face recognition systems. We proved that by intelligently pre-filtering target images, face recognition systems could become much more efficient.

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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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