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Skin color detection is an important subject in computer vision research. Color segmentation takes a great attention because color is an effective and robust visual cue for characterizing an object from the others. To aim at existing skin color algorithms considering the luminance information not enough, a reliable color modeling approach was proposed. It is based on the fact that color distribution...
A feature extraction method, named as centralized Gabor gradient histogram (CGGH), was proposed for facial gender recognition. By combining centralized binary pattern (CBP) and Gabor gradient magnitude, CGGH captures discriminative information at different scales and orientations. Moreover, the center-based nearest neighbor (CNN) classifier was selected to do the final classification, which was superior...
By analyzing the characteristics of off-road images, a new and computationally efficient algorithm of road segmentation and road type identification for autonomous land vehicle (ALV) navigation system based on the proposed new-type histogram calculation was established. The new-type histogram is a new image, not a curve. It is also directional. It makes a statistic of the pixels under some special...
This study aims to implement and test the NVIDIA's and AMD's early OpenCL compatibility implementation release on a back-projection step, the most time consuming part of an FBP reconstruction, and the Haralick's texture feature extraction algorithm for CT images.
Non-universality and fuzziness of fractal would bring detection error when utilizing fractal feature to detect target in complex background. In this paper, a novel target detection algorithm based on fuzzy enhanced fractal feature is proposed. After the fractal feature named area measurement was estimated according to self-similarity of fractal, the new membership function of fuzzy sets based on the...
We describe an efficient design for scan-window based object detectors using a general purpose graphics hardware computing (GPGPU) framework. While the design is particularly applied to built a pedestrian detector that uses histogram of oriented gradient (HOG) features and the support vector machine (SVM) classifiers, the methodology we use is generic and can be applied to other objects, using different...
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