Computer Vision – ACCV 2007: 8th Asian Conference on by Yufei Han, Zhenan Sun, Fei Wang, Tieniu Tan (auth.), Yasushi

By Yufei Han, Zhenan Sun, Fei Wang, Tieniu Tan (auth.), Yasushi Yagi, Sing Bing Kang, In So Kweon, Hongbin Zha (eds.)

The 2 quantity set LNCS 4843 and LNCS 4844 constitutes the refereed lawsuits of the eighth Asian convention on machine imaginative and prescient, ACCV 2007, held in Tokyo, Japan, in November 2007. The forty six revised complete papers, three planary and invited talks, and one hundred thirty revised poster papers of the 2 volumes have been rigorously reviewed and seleceted from 551 submissions. The papers of this quantity are prepared in topical sections on form and texture, becoming, calbration, detection, photograph and video processing, functions, face and gesture, monitoring, digital camera networks, face/gesture/action detection and popularity, studying, movement and monitoring, retrival and seek, human pose estimation, matching, face/gesture/action detection and popularity, low point imaginative and prescient and phtometory, movement and monitoring, human detection, and segmentation.

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Computer Vision – ACCV 2007: 8th Asian Conference on Computer Vision, Tokyo, Japan, November 18-22, 2007, Proceedings, Part II

The 2 quantity set LNCS 4843 and LNCS 4844 constitutes the refereed lawsuits of the eighth Asian convention on desktop imaginative and prescient, ACCV 2007, held in Tokyo, Japan, in November 2007. The forty six revised complete papers, three planary and invited talks, and a hundred thirty revised poster papers of the 2 volumes have been conscientiously reviewed and seleceted from 551 submissions.

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Technical report, Department of Statistics, Sequoia Hall, Stanford Univerity (1998) 17. : Rapid object detection using a boosted cascade of simple features. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Kauai, Hawaii, IEEE Computer Society Press, Los Alamitos (2001) 18. : A Bayesian similarity measure for direct image matching. 393, MIT (1996) 19. : AdaBoost gabor fisher classifier for face recognition. In: Proceedings of IEEE International Workshop on Analysis and Modeling of Faces and Gestures, Beijing, China, pp.

Morphological filters, such as open and close are designed to preserve edges and shapes of objects, which make this approach suitable for the task presented here. Shift invariant digital wavelet transform is a method proposed to overcome the wavy effect normally observed in traditional wavelet transform based fusion. It is accomplished by an over-complete version of wavelet basis and the downsampling process is taken place by dilated analysis filters. In our implementation, Haar wavelet is chosen and decomposition level for the above mentioned three methods is three.

Hk/biometrics/ 13. html 14. cn/ 15. : Complete discret 2d gabor transforms by neural networks for image analysis and compression. IEEE Trans. ASSP 36, 1169–1179 (1988) 16. : Additive logistic regression: a statistical view of boosting. Technical report, Department of Statistics, Sequoia Hall, Stanford Univerity (1998) 17. : Rapid object detection using a boosted cascade of simple features. In: Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Kauai, Hawaii, IEEE Computer Society Press, Los Alamitos (2001) 18.

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