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To solve the problem of training rate decline in neural network caused by too much noise in the traditional image, a new method of expression recognition based on CNN was proposed. First, in order to narrow the face range, face image could be detected from the original image by using the AdaBoost cascade classifier. Then, the coordinates of the eye, mouth and other key parts and brow, nasolabial and...
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Android has dominated the market of mobile devices. Meanwhile, it has become the main target for attackers. How to detect and analyze Android malicious applications (malapps) is an ongoing challenge. Current malapps have become increasingly sophisticated. In particular, zero-day (unknown) malapps appear very frequently and can evade most detection systems that are based on the signatures or patterns...
Recently sparse and collaborative representation based classification has been developed for face recognition with single sample per person (SSPP). By using variations extracted from a generic training set as an additional common dictionary, promising performance has been reported in face recognition with SSPP. However, existing representation based classifiers for face recognition with SSPP ignored...
This paper investigates the feature extraction algorithm in human face recognition systems, especially the principle component analysis and linear discriminate analysis. Based on the data fusion theory, a new method of feature extraction is presented; it utilizes the advantages of both methods. Then the experimental system is constructed that the human face in data space can be projected to human...
3D-TV is well expected as next advancement in television. The conversion technique of two-dimensional (2D) images to 3D images is an effective way to alleviate the shortage of 3D contents. The most important and difficult problem in 2D-to-3D conversion is how to generate or estimate depth information using only a single-view image. In this paper, a new approach to estimate depth map from monocular...
Fourier descriptor is an important method used in shape analysis and recognition. A novel method for designing the classifier of multi-dimensional data was proposed, which used radar chart of multi-statistics to show multidimensional data and applied Fourier descriptors to recognize the radar chart. Different multi-dimensional data formed different radar chart and distinguished different category...
A novel approach for 3D motion capture data retrieval based on the Hierarchical Self Organizing Map (HSOM) is proposed. Given a query motion sequence, our goal is to search for all the similar motions from a database. Specifically, a feature vector based on the distribution of the human motion data is first extracted from each motion sequence in the database. Then, Singular Value Decomposition (SVD)...
Due to the rapid development of motion capture technology, more and more human motion databases appear. In order to effectively and efficiently manage human motion database, human motion classification is necessary. In this paper, we propose an ensemble based human motion classification approach (EHMCA). Specifically, EHMCA first extracts the descriptors from human motion sequences. Then, singular...
In this paper, we propose a new algorithm called fuzzy cluster ensemble algorithm (FCEA) which integrates the fuzzy logic theory and traditional cluster ensembles for 3D head model classification. Specifically, FCEA consists of two parts: (i) data processing on the distributed locations and (ii) data fusion on the centralized location. In the distributed locations, data processing includes (i) extracting...
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