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Kafe 바로가기국가/구분 | United States(US) Patent 등록 |
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국제특허분류(IPC7판) |
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출원번호 | US-0996147 (1997-12-22) |
우선권정보 | EP-0650057 (1996-12-20) |
발명자 / 주소 |
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출원인 / 주소 |
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대리인 / 주소 |
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인용정보 | 피인용 횟수 : 656 인용 특허 : 9 |
Noise problems in processing small images or large-granularity images are reduced by representing hand images as rotational vectors calculated using a real-valued centroid. The hand region is therefore sectored independently of pixel quantization. Color segmentation is used to identify hand-color re
Noise problems in processing small images or large-granularity images are reduced by representing hand images as rotational vectors calculated using a real-valued centroid. The hand region is therefore sectored independently of pixel quantization. Color segmentation is used to identify hand-color regions, followed by region labelling to filter out noise regions based on region size. Principal component analysis is used to plot gesture models.
[ What is claimed is:] [1.] A hand gesture recognition system comprising:input means for receiving a stream of images in real time; andprocessing means for representing a hand which is represented in each image as a vector and for processing the vectors to recognize hand gestures,wherein said proces
[ What is claimed is:] [1.] A hand gesture recognition system comprising:input means for receiving a stream of images in real time; andprocessing means for representing a hand which is represented in each image as a vector and for processing the vectors to recognize hand gestures,wherein said processing means comprises:vector processing means for representing the hand in each image as a rotational vector which is calculated using a real-value centroid of a region representing the hand in which the region is divided into a plurality of sectors through the real-value centroid by calculating the ratio of the number of pixels within each sector representing the color of the hand to the total number of pixels of the color of the hand within the region as an element vector for each section, wherein the element vectors correspond to the rotational vector, and whereby the hand is sectored independently of pixel grid quantization, andrecognition means for analyzing sequences of rotational vectors to recognize hand gestures by performing a principal component analysis in which the rotational vectors are principal components which are plotted against reference gesture models.
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