By Maria De Marsico, Michele Nappi, Daniel Riccio (auth.), Toshikazu Wada, Fay Huang, Stephen Lin (eds.)
This ebook constitutes the refereed court cases of the 3rd Pacific Rim Symposium on photo and Video expertise, 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 beneficial properties eight significant issues together with all facets of snapshot and video expertise: photograph sensors and multimedia undefined; pictures and visualization; picture and video research; attractiveness and retrieval; multi-view imaging and processing; laptop imaginative and prescient functions; video communications and networking; and multimedia processing. The papers are prepared in topical sections on faces and pedestrians; panoramic photographs; neighborhood picture research; association and grouping; multiview geometry; detection and monitoring; computational images and forgeries; coding and steganography; attractiveness and seek; and reconstruction and visualization.
Read 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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Additional info for Advances in Image and Video Technology: Third Pacific Rim Symposium, PSIVT 2009, Tokyo, Japan, January 13-16, 2009. Proceedings
We used both holistic and geometric methodologies to prove that FQR pre-ﬁltering can improve the performance of either methodology for face recognition. FQR pre-ﬁltering will improve real-time performance rates for a face recognition method, no matter how eﬀective that face recognition method is by itself. Any existing face recognition method can be used and improved by our FQR pre-ﬁltering method in both its speed and accuracy for real-time environments. These claims are based on experiments in the next section.
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 . 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.
Unfortunately, due to MLP’s being black boxes it is diﬃcult to be aware of the speciﬁcs of these sub features so human observations cannot evaluate the use/robustness of these sub features independently from the system results. What can be evaluated however is the fact that the MLP can use the presence or absence of learned image sub features to generate a single value output that gives the likelihood of the current target image being correctly recognized. In other words the MLP can generate the image’s FQR value.
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.)