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Multiple observation improves the performance of 3D object classification. However, since the distribution of feature vectors obtained from multiple view points have strong nonlinear structure, the kernel-based methods are often introduced with nonlinear mapping. By mapping feature vectors to a higher dimensional space, kernel-based methods transform the distribution to weaken its nonlinearity. Although...
Often the deployed pan-tilt-zoom (PTZ) cameras undergo a pure pan or pure tilt rotation. This is a degenerate case for most of the PTZ camera calibration methods. That is, under this motion, the estimated camera parameters are not unique. In this regard, we present a novel camera calibration method to estimate five camera parameters from these pure pan/tilt cameras by using only two images. Our solution...
Object pose may be determined from a set of 2D image points and corresponding 3D model points, given the camerapsilas intrinsic parameters. In this paper, two new exterior orientation algorithms are proposed and then compared against the Efficient PnP method and orthogonal iteration algorithm. As an alternative to the homogeneous transformation, both algorithms utilize the 3-simplex as a pose parameterization...
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