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Developing reliable and robust face verification systems has been a tough challenge in computer vision, for several decades. The variation in illumination and head pose may seriously inhibit the accuracy of two-dimensional face recognition. With the invention of a depth map sensor, more three-dimensional volume data can be processed to mitigate the problem associated with face verification. This paper...
In driving support systems, it is not only necessary to detect the position of pedestrians, but also to estimate the distance between a pedestrian and the vehicle. In general approaches using monocular cameras, the upper and lower positions of each pedestrian are detected using a bounding box obtained from a pedestrian detection technique. The distance between the pedestrian and the vehicle is then...
In this paper, we propose a new approach for dense disparity estimation in a global energy minimization framework. We combine the feature matching cost defined using the learned hierarchical features of given left and right stereo images, with the pixel-based intensity matching cost to form the data term. The features are learned in an unsupervised way using the deep deconvolutional network. Our regularization...
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