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Author: search.filters.author.Sato, MakotoHas files: No

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    Invariant range image multi-pose face recognition using gradient face, membership matching score and 3-layer matching search
    (2005-01-01)
    Pansang, Seri
    ;
    Attachoo, Boonwat
    ;
    Kimpan, Chom
    ;
    Sato, Makoto
    The purpose of this paper is to present the novel technique to solve the recognition errors in invariant range image multi-pose face recognition. The scale, center and pose error problems were solved by using the geometric transform [13]. Range image face data (RIFD) was obtained from a laser range finder and was used in the model to generate multi-poses. Each pose data size was reduced by linear reduction. The reduced RIFD was transformed to the gradient face model for facial feature image extraction and also for matching using the Membership Matching Score model. Using this method, the results from the experiment are acceptable although the size of gradient face image data is quite small (659 elements). Three-Layer Matching Search was the algorithm designed to reduce the access timing to the most accurate and similar pose position. The proposed algorithm was tested using facial range images from 130 people with normal facial expressions and without eyeglasses. The results achieved the mean success rate of 95.67 percent of ±12 degrees up/down and left/right (UDLR) and 88.35 percent of ±24 degrees UDLR. Copyright © 2005 The Institute of Electronics, Information and Communication Engineers.
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    Playing Rubik's cube in mixed reality
    (2003-01-01)
    Sato, Makoto
    ;
    Koike, Yasuharu
    ;
    Walairacht, Somsak
    This paper describes a prototype system for virtual objects manipulation in mixed reality environment. SPIDAR-8, the multi-fingers string-based haptic interface device, is used to display force feedback at four fingertips on each hand of the user, i.e., thumb, index, middle, and ring finger. Fingertip positions measured by the haptic interface device are also used to model the 3D virtual hands. Then image sequences of real hands of the user taken by video camera are superimposed on the silhouette of the virtual hands. By employing the technique of sensors fusion and the successive adjustment algorithm, correct geometric registration of image of real hands and the virtual objects can be achieved. The user can see his or her real hands manipulating the virtual objects in the simulated virtual world and perceive force feedback in the same way as manipulating real objects. The system is aimed to enhance the sensation of immerse into the virtual world. © 2003 by Springer Science+Business Media New York.