Computer Vision in Human-Computer Interaction: ECCV 2006 by Li Zhang, Haizhou Ai, Shihong Lao (auth.), Thomas S. Huang, PDF

By Li Zhang, Haizhou Ai, Shihong Lao (auth.), Thomas S. Huang, Nicu Sebe, Michael S. Lew, Vladimir Pavlović, Mathias Kölsch, Aphrodite Galata, Branislav Kisačanin (eds.)

ISBN-10: 3540342028

ISBN-13: 9783540342021

The pursuits and objectives of HCI (human–computer interplay) contain und- status, designing, construction, and comparing advanced interactive structures - volving many folks and applied sciences. advancements in software program and applied sciences are regularly using purposes in aiding our collabo- tive and communicative wishes as social beings, either at paintings and at play. while, comparable advancements are pushing the human–computer interface past the machine and into our wallet, streets, and constructions. advancements in cellular, wearable, and pervasive communications and computing applied sciences offer intriguing demanding situations and possibilities for HCI. the current quantity represents the lawsuits of the HCI 2006 Workshop that was once held at the side of ECCV 2006 (European convention on C- puter imaginative and prescient) in Graz, Austria. The target of this workshop used to be to compile researchers from the ?eld of machine imaginative and prescient whose paintings is said to human– computing device interplay. We solicited unique contributions that tackle a variety of theoretical and alertness concerns in human–computer interplay. Wewereverypleasedbytheresponseandhadadi?culttaskofselectingonly eleven papers (out of 27 submitted) to be provided on the workshop. The approved papers have been offered in 4 periods, as follows: Face research – of their paper “Robust Face Alignment in response to Hierarchical Classi?er community” authors Li Zhang,Haizhou Ai, and Shihong Lao construct a hierarc- cal classi?er community that connects face detection and face alignment right into a soft coarse-to-?ne process. hence a strong face alignment set of rules on face photographs with expressionand pose adjustments is brought. Experiments are suggested to teach its accuracy and robustness.

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Additional info for Computer Vision in Human-Computer Interaction: ECCV 2006 Workshop on HCI, Graz, Austria, May 13, 2006. Proceedings

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Conf. on Automatic Face and Gesture Recognition. (2004) 9. : A statistical to 3d object detection applied to faces and cars. In: CVPR. (2000) 10. : Neural Network-based Human Face Detection. PhD thesis, Carnegie Mellon University (1999) 11. : Elliptical head tracking using intensity gradients and color histograms. In: CVPR. (1998) 12. : Real-time tracking of non-rigid objects using mean shift. In: CVPR. (2000) 13. : Color-based probabilistic tracking. In: ECCV. (2002) 14. : Active appearance models revisited.

Vetter. Selective vs. Global Recovery of Rigid and Non-rigid Motion. , Univ. of Basel, 2003. 15. H. Moon and P. Phillips. Computational and Performance Aspects of PCA-Based FaceRecognition Algorithms. Perception. Vol. 30. pp. 303-321, 2001. cn Abstract. This paper presents a fully automatic and highly robust head tracking algorithm based on the latest advances in real-time multiview face detection techniques and multiple cues fusion under particle filter framework. Visual cues designed for general object tracking problem hardly suffice for robust head tracking under diverse or even severe circumstances, making it a necessity to utilize higher level information which is object-specific.

PAMI 23(6) (2001) 681–684 16. : Fast, reliable head tracking under varying illumination: An approach based on registration of texture-mapped 3d models. PAMI 22(4) (2000) 322–336 17. : Maintaining multi-modality through mixture tracking. In: ICCV. (2003) Vision-Based Interpretation of Hand Gestures for Remote Control of a Computer Mouse Antonis A. A. gr/cvrl/ Abstract. This paper presents a vision-based interface for controlling a computer mouse via 2D and 3D hand gestures. The proposed interface builds upon our previous work that permits the detection and tracking of multiple hands that can move freely in the field of view of a potentially moving camera system.

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Computer Vision in Human-Computer Interaction: ECCV 2006 Workshop on HCI, Graz, Austria, May 13, 2006. Proceedings by Li Zhang, Haizhou Ai, Shihong Lao (auth.), Thomas S. Huang, Nicu Sebe, Michael S. Lew, Vladimir Pavlović, Mathias Kölsch, Aphrodite Galata, Branislav Kisačanin (eds.)


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