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Euclidean reconstruction of an object is one of the challenging problems in computer vision. This paper uses the singular value decomposition (SVD) method to solve the problem of Euclidean reconstruction from translational motion, under one calibrated camera. This paper mainly analyzes how the different elements (camera intrinsic parameters, corresponding error, the value and the direction of translation)...
This paper finds a method for computing the best-focused location from an image and using it as a dimensional cue for acquisition of a 3D scene surface. In some situations in 3D vision, an object cannot be reconstructed into a 3D model with metric dimensions. Rather, it can only be reconstructed into a 3D structure up to a similarity transformation. To upgrade the 3D model from a similarity transformation...
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