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47 results about "Wrist Region" patented technology

Device and method for recognizing hand shape and position, and recording medium having program for carrying out the method recorded thereon

An object of the present invention is to provide a device and a method for recognizing hand shape and position even if a hand image to be provided for recognition is rather complicated in shape, and a recording medium having a program for carrying out the method recorded thereon.A hand image normalization part 11 deletes a wrist region respectively from a plurality of images varied in hand shape and position before subjecting the images to normalization in hand orientation and size to generate hand shape images. An eigenspace calculation part 13 calculates an eigenvalue and an eigenvector respectively from the hand shape images under an analysis based on an eigenspace method. An eigenspace projection part 15 calculates eigenspace projection coordinates by projecting the hand shape images onto an eigenspace having the eigenvectors as a basis. A hand image normalization part 21 deletes a wrist region from an input hand image, and generates an input hand shape image by normalizing the input hand image to be equivalent to the hand shape images. An eigenspace projection part 22 calculates eigenspace projection coordinates for the input hand shape image by projecting the same onto the eigenspace having the eigenvectors as the basis. A hand shape image selection part 23 compares the eigenspace projection coordinates calculated for the input hand shape image with each of the eigenspace projection coordinates calculated for the hand shape images, and then determines which of the hand shape images is closest to the input hand shape image. A shape/position output part 24 outputs shape information and position information on the determined hand shape image.
Owner:NAT INST OF INFORMATION & COMM TECH +1

Fingertip detection method in complex environment

The invention provides a fingertip detection method in a complex environment. The fingertip detection method comprises the steps of: step 1, calculating dense light stream information corresponding to scene information, and reconstructing a skin color filter to obtain a hand region; step 2, and constructing models of the hand region in various gestures by adopting equal-area blocks, calculating a mass center of the hand region, calculating distances from all contour sampling points to the mass center and an average mass center distance, determining an extended mass center distance according to detected number of fingertips, drawing a circle by taking the mass center as a circle center and the extended mass center distance as the radius, removing contour points inside the circle and a wrist region with maximum number of continuous pixels on the circle, searching contour points with partial maximum mass center distance outside the circle, and marking the contour points as fingertips, and comparing the detected number of fingertips in this round with the detected number of fingertips in the last round to judge whether to continue the fingertip detection. The fingertip detection method is high in robustness, and can detect the fingertips correctly when the hand of a person moves in front of a camera freely in the complex environment, thereby increasing the accuracy and effectiveness of fingertip detection.
Owner:SOUTH CHINA UNIV OF TECH
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