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The paper proposed a model using real time driving front video recording to detect driver drowsiness. The video recordings were fed into the TRW's simulator to obtain the lane-related signals. Time domain features and frequency domain features were extracted from the lane-related signals to characterize the difference of alert state and drowsiness state. Both support vector machine and neural network...
As an important branch of the computers, machine vision technology has a great influence on intelligent surveillance, human-computer interaction, and virtual reality. This paper introduced an intelligent emulator which used machine vision technology to guide navigation. The intelligent emulator is controlled by the human posture. The hardware of intelligent emulator includes control unit, obstacle...
In this paper, we propose an example-based facial sketch hallucination approach. Given a face image, its sketch image will be automatically hallucinated by learning from a training set, which includes a lot of face images and their corresponding sketch images. Our algorithm involves three stages. In the first stage which is called ??feature extracting??, we create the feature pyramid for each face...
The dimension reduction is necessary steps for face recognition based on subspace analysis. The proposed method employs class information for structure of similarity matrix when implement of 2DLPP. A subspace which preserves local neighbor structure and centralizes same class samples of training images is got. Moreover, it has available computation efficiency and accuracy because it belongs to the...
Regularization plays a vital role in ill-posed problems. A properly chosen regularization can direct the solution toward a better quality outcome. An emerging powerful regularization is one that leans on image examples. In this paper, we propose a novel scheme for face hallucination. We target specially the quality of highly zoomed outputs. Our work bases on the pyramid framework and assigns several...
Image principle component analysis (IMPCA) is a rapid direct feature extract approach from matrix. We present the basic theory of IMPCA from the view of minimizing the mean reconstruction error. We analyze the feature generated from IMPCA and find they present row characters. Wavelet transform can be used in reducing noise of images and the wavelet image should be more suitable for recognition. Our...
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