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Fuzzy c-means (FCM) as a method of clustering has been steadily grown since its inception. This method as well as its derivatives is all to find an optimal assignment of c centers (also called means, prototypes or centroids) to c clusters by minimizing an intra-cluster variance criterion. Commonly, one has to select c data points as initial centers for the expected c clusters in advance. However,...
In this paper, a novel discriminant feature extraction algorithm employing center-based distance is proposed for face recognition. This new method, which is a supervised linear dimensionality reduction and feature extraction approach, computes the center-based distance between each training sample-pairs in the same class and the distance between each training sample-pair belonging to different classes...
In this paper, a robust and effective face detection method with HTF-Boosting is proposed. Firstly, a new feature, called Haar texture feature, is proposed that has many merits compared with Haar-Like feature. Secondly, a new Boosting algorithm, called Haar Texture Feature Boosting (HTF-Boosting), is proposed to construct strong face/nonface classifiers. The HTF-Boosting algorithm trains strong classifiers...
During the driving, the good emotion can benefit the vehicle safety. The good emotion will result in the certain facial expressions and vice versa. The facial expression is used as a useful cue to perform the surveillance of driverpsilas status. Considering the characteristics of driving safety, the facial expressions of anger, happiness, sadness and fear are investigated. The main contribution of...
Traditionally, the search region is based one pipolar line and the maximum disparity constraints in area-based stereo correspondence methods. The search region is invariable with this method. The reduction of search region can increase the performance of the matching process, in the context of the execution time and accuracy. According to disparity gradient theory, the paper presents a fast area-based...
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