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Saliency detection is a challenging problem and one of the most active research topics in the field of computer vision. Application scenarios of saliency detection range from surveillance to retrieval, from industrial safety to sports analysis. Given the broad set of techniques used in saliency detection and the fast progress in this area, in this paper we briefly survey the corresponding literature...
In this work, we present a robust method for automatic recalibration camera pose via homography. And assuming that the intrinsic parameters of the camera are known from initial calibration, then we show that its translation vector and rotation matrix via Homography. In this method, computational cost is low compared with traditional methods. Some simulations and real data experiments show the accuracy...
In this paper, we propose a robust method to calculating camera pose via homography. We assuming the intrinsic parameters of the camera are known from initial calibration, and then we show that its camera pose parameters, in terms of translation vector and rotation matrix, can be determined from Homographic matrix. Our method is able to dynamic calibrating of the camera pose and arbitrary motion is...
The catadioptric vision system has seen an increasing interest due to its larger field of view. In this work, we present a method for calibrating the parabolic camera which consists of a parabolic mirror and an orthographic camera. Here, the mirror parameter and its positions are estimated from a closed-form solution with the assumption of the known intrinsic parameters of the camera a priori. The...
In this work, we present a new robust method for calibrating the vision system. With the known intrinsic parameters of the camera, we show that its motion parameters, in terms of translation vector and rotation matrix, can be determined automatically from plane-based homography. In this method, a closed-form solution is provided to increase the computational efficiency and arbitrary motion is allowed...
3-D specific face model construction by way of 2-D face image is an active topic in 3-D face modeling research. In this paper, stereoscopic sense of vision is used to reconstruct 3-D feature points. Then multi-layer and multi-region RBF (radial basis function) based on feature points of frontal and profile face image is adopted for reconstructing the generic face model to get 3-D specific face model...
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