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We propose a three-dimensional (3D) face-modelling method from a single two-dimensional (2D) face image using a gallery of 2D face images and their corresponding 3D face models. Unlike existing methods, which require human effort, we provide a simple way to reconstruct 3D face models without user interaction. Our main approach is based on the idea that a particular coefficient that linearly combines...
Through the development of pattern recognition methods, many researchers have proposed various systems to control a TV that can be activated automatically without devices. In this paper, we propose a control owner switching system of TV via multi-user face recognition and head gesture recognition. We mainly focus on rotation invariant and wide-range (up to four meters) multi-user face recognition...
In this paper, we propose a novel rigid motion segmentation algorithm called randomized voting (RV). This algorithm is based on epipolar geometry, and computes a score using the distance between the feature point and the corresponding epipolar line. This score is accumulated and utilized for final grouping. Our algorithm basically deals with two frames, so it is also applicable to the two-view motion...
The training time of Adaboost to obtain the strong classifier is usually time-consuming. Moreover, to deal with rotated faces, it is natural to need much more processing time for both training and execution stages. In this paper, we propose new efficient and fast multi-view face detection method based on Adaboost. From the robustness property of Harr-like feature, we first construct the strong classifier...
Performance of a speech recognition system often degrades severely under low SNR environment. To overcome this difficulty, the visual signal is also considered as an additional aid these days. In this paper, we address speaker dependent visual speech recognition problem using Extended Curvature Gabor (ECG) wavelet. First, lip image sequences are filtered using the ECG, because the variation of the...
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