By Kang Ryoung Park (auth.), Francisco J. Perales, Robert B. Fisher (eds.)
This booklet constitutes the refereed lawsuits of the 4th overseas convention on Articulated movement and Deformable gadgets, AMDO 2006, held in Port d'Andratx, Mallorca, Spain, in July 2006.
The fifty three revised complete papers awarded have been conscientiously reviewed and chosen from eighty one submissions. one of the issues addressed are geometric and actual deformable types, movement research, articulated types and animation, modelling and visualisation of deformable types, deformable types functions, movement research purposes, unmarried or a number of human movement research and synthesis, face modelling, monitoring, recuperating and popularity versions, digital and augmented truth, haptics units, and biometrics techniques.
Read Online or Download Articulated Motion and Deformable Objects: 4th International Conference, AMDO 2006, Port d’Andratx, Mallorca, Spain, July 11-14, 2006. Proceedings PDF
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Extra info for Articulated Motion and Deformable Objects: 4th International Conference, AMDO 2006, Port d’Andratx, Mallorca, Spain, July 11-14, 2006. Proceedings
In the third experiment, we have tested the total recognition time with the BMET100 made by Panasonic  according to user’s initial Z distance. We measured the total recognition time of the total 50 persons (each person tries to recognize 5 times) according to initial Z distance. The depth of field is increased with the proposed iris image restoration algorithm. Consequently, the original operating range of the BMET100 is 48-53cm, but in case of using our iris image restoration algorithm it becomes 46-56cm.
1 Selection of Weights Expressions with open mouth do not ﬁt into the isometric model, in which we tacitly assumed a ﬁxed topology of the surface. Opening the mouth creates a “hole” in the facial surface. Resolving this problem is possible imposing a topological constraint on the facial surface, for example, assuming the mouth to be always open . This is achieved by essentially cutting oﬀ the lip contour in the reference frame S0 , either automatically or manually (in practice, the lip detector does not have to be very accurate).
False rejection cases frequently happen where eyelashes are across, and where a part of eyelashes are blurred. Because our proposed eyelash detection algorithm uses adaptive criterion according to focus score, it is possible to detect eyelashes in blurred iris image. 4 GHz processor, the execution time was 6ms on average. In order to test the focus assessment method considering eyelash, we firstly classified CASIA iris images into that including eyelashes more than 10% or less and produced the blurred iris images by Gaussian mask with various radius.
Articulated Motion and Deformable Objects: 4th International Conference, AMDO 2006, Port d’Andratx, Mallorca, Spain, July 11-14, 2006. Proceedings by Kang Ryoung Park (auth.), Francisco J. Perales, Robert B. Fisher (eds.)