A fusion method of Gabor features and (2D)~2LDA for face feature extraction is proposed in this paper. Gabor filters are utilized to extract multi-direction and multi-scale features from facial image to employ its rob...A fusion method of Gabor features and (2D)~2LDA for face feature extraction is proposed in this paper. Gabor filters are utilized to extract multi-direction and multi-scale features from facial image to employ its robust performance for illumination,expressional variability and other factors. The extracted features have the defect of high dimension and redundancy data.(2D)~2LDA is implemented to reduce the dimension of Gabor features and select effective feature data. Finally, the nearest neighbor classifier is used to classify characteristics and complete face recognition. The experiments are implemented by using ORL database and Yale database respectively. The experimental results show that the proposed method significantly reduces the dimension of Gabor features and decrease the influence of other factors. The proposed method acquires excellent recognition accuracy and has light architectures as well.展开更多
A CAD/CMM workpiece modeling system based on IGES file is proposed. Themodeling system is implemented by using a new method for labelling the tolerance items of 3Dworkpiece. The concept―'feature face' is used...A CAD/CMM workpiece modeling system based on IGES file is proposed. Themodeling system is implemented by using a new method for labelling the tolerance items of 3Dworkpiece. The concept―'feature face' is used in the method. First the CAD data of workpiece areextracted and recognized automatically. Then a workpiece model is generated, which is theintegration of pure 3D geometry form with its corresponding inspection items. The principle ofworkpiece modeling is also presented. At last, the experiment results are shown and correctness ofthe model is certified.展开更多
基金Sponsored by the National Natural Science Foundation of China(Grant No.61172167)the Natural Science Foundation of Heilongjiang Province of China(Grant No.F201311)
文摘A fusion method of Gabor features and (2D)~2LDA for face feature extraction is proposed in this paper. Gabor filters are utilized to extract multi-direction and multi-scale features from facial image to employ its robust performance for illumination,expressional variability and other factors. The extracted features have the defect of high dimension and redundancy data.(2D)~2LDA is implemented to reduce the dimension of Gabor features and select effective feature data. Finally, the nearest neighbor classifier is used to classify characteristics and complete face recognition. The experiments are implemented by using ORL database and Yale database respectively. The experimental results show that the proposed method significantly reduces the dimension of Gabor features and decrease the influence of other factors. The proposed method acquires excellent recognition accuracy and has light architectures as well.
基金This project is supported by National Natural Science Foundation of China (No.59675083,50075064).
文摘A CAD/CMM workpiece modeling system based on IGES file is proposed. Themodeling system is implemented by using a new method for labelling the tolerance items of 3Dworkpiece. The concept―'feature face' is used in the method. First the CAD data of workpiece areextracted and recognized automatically. Then a workpiece model is generated, which is theintegration of pure 3D geometry form with its corresponding inspection items. The principle ofworkpiece modeling is also presented. At last, the experiment results are shown and correctness ofthe model is certified.
