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A face image could be decomposed into two components of large- and small-scale components, which carry low- and high-frequency contents of the original image, respectively. The illumination field mainly locates in the spectrum of large-scale components, whereas the small-scale components hold the detailed image cues, like edge, corner, etc., which are less sensitive to the illumination changes. In...
Since Gabor features are robust to changes in illumination and facial expression and have been successfully applied for face recognition. The locality preserving projection (LPP) is nonorthogonal and makes it difficult to reconstruct the data. The orthogonal locality preserving projection (OLPP) produces orthogonal basis functions and can have more locality preserving power than LPP. OLPP has more...
Using Active Appearance Model to detect driver fatigue has been proposed in past research. This paper proposes a rapid method of driver fatigue detection by applying Active Appearance Model with simplified landmarks only around eyes, and also proposes to convert the eye contour aspect ratio into PERCLOS to judge the degree of the driver fatigue. Compared to the original method, this method reduces...
Local Binary Patterns (LBP) is an effective texture description operator and the histogram that it generates has been proved to be a very useful texture feature to adapt to rotation and illumination. Using the LBP features as feature vectors in adaBoost classifier for target identification has become a trend. But LBP is bound by the scale transformation, so it is not widely used in adaBoost face detector...
Active shape model (ASM) has been widely used to extract the facial features of a face image. In this paper, we propose an improved ASM algorithm for face image features extraction. The conventional ASM uses a single face model to represent a face, so it may not be able to capture the local shape variations effectively under different facial expressions. In our proposed approach, we use two individual...
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