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Image description is not sufficient in traditional facial expression recognition (FER) methods, therefore this paper proposes a FER method based on multi-scale vector triangle. It combines vector triangle pattern with image pyramid to extract facial expression features. Firstly, construct a facial image pyramid to produce images in different scales. Secondly, divide each image into blocks, and extract...
A considerable amount of research work has been done for facial expression recognition using local or global feature extraction methods. Weber Local Descriptor (WLD), a simple and robust local image descriptor, is recently developed for local feature extraction. In facial expression recognition, the information contained in the local is important for the recognition result. The Histograms of Oriented...
Due to the good invariance of scale, rotation, illumination, SIFT (scale invariant feature transform) descriptor is commonly used in image matching, but its algorithm is complicated and computation time is long. To improve SIFT feature matching algorithm efficiency, the method of reducing similar measure matching cost is mentioned. Euclidean distance is replaced by the linear-combination of city block...
Efficiency image matching technology is very important to assembly product line based on machine vision. SIFT (scale invariant feature transform) descriptor is commonly used in image matching because of the good invariance of scale, rotation, illumination. But its algorithm is complicated and computation time is long. To improve SIFT algorithm real-time quality, the method of reducing similar measure...
SIFT (scale invariant feature transform) is one of the most active research subjects in the field of feature matching algorithms at present. This algorithm can dispose of matching problem with translation, rotation and affine distortion between images and to a certain extent is with more stable feature matching ability of images which are shot from random different angles. but its algorithm is complicated...
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