Aiming at the current structured P2P system's locality of physical location and accessing resources, in the context of P4P technology, this paper takes the Pastry and P4P-Pastry algorithms as foundation, proposes ...
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Computer operation via face orientation provides a means of communication for people with severe physical disability. The authors present a near-real-time computer system to track the eyes and the nose of a subject an...
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Computer operation via face orientation provides a means of communication for people with severe physical disability. The authors present a near-real-time computer system to track the eyes and the nose of a subject and compute the direction of the face. As presented by K. Ohmura et al. (1988), the direction can be computed from three natural feature points extracted from the face. The computational approach taken in this system is motivated by the practical requirements of near-real-time performance and accuracy. The approach is based on the reflection characteristic of the cornea. Any bright light source forms a twinkle in the eye that is fixed as long as the light source is fixed. Face direction detection is treated as a 2D tracking problem. The eye twinkles are extracted from the image and used to locate the nose. A final experiment shows that the face direction obtained from the three feature points is precise enough to control the mouse cursor to make selection from a menu with large light buttons.< >
A multichannel filtering-based texture segmentation method is applied to a variety of document imageprocessing problems: text-graphics separation, address-block location, and bar code localization. In each of these s...
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A multichannel filtering-based texture segmentation method is applied to a variety of document imageprocessing problems: text-graphics separation, address-block location, and bar code localization. In each of these segmentation problems, the text context or bar code in the image is considered to define a unique texture. Thus, all three document analysis problems can be posed as texture segmentation problems. Two-dimensional Gabor filters are used to compute texture features. Both supervised and unsupervised methods are used to identify regions of text or bar code in the document images. The performance of the segmentation and classification scheme for a variety of document images demonstrates the generality and effectiveness of the approach.< >
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