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The Microsoft Kinect sensor has been widely used in many applications, but it suffers from the drawback of low depth accuracy. In this paper, we present a unified depth modification model to improve the Kinect depth accuracy by registering depth and color images in an iterative manner. Specifically, in each iteration, we first establish a coarse correspondence based on the feature descriptor of the...
In this paper, a novel closed-form transformation estimation method based on feature guided moving least squares together with manifold regularization is proposed for nonrigid image/surface deformation. The method takes the user-controlled point-offset-vectors and the feature points of the image/surface as input, and estimates the spatial transformation between the two control point sets for each...
On the fundamental theory of Structure from Motion, we present an algorithm based on 3D-2D motion estimation monocular visual odometry. In order to resolve the problem of 3D-2D motion estimation, which need to maintain a consistent and accurate set of triangulated 3D feature points and to create precisely 3D-to-2D correspondences, and considering the complexity and variability of the outdoor scene...
In this paper, we proposed an improved Iterative Closest Point (ICP) algorithm which based on features with the discrete selection mechanism for motion estimation to reconstruct 3D map in indoor environment. We started with detecting, descripting and matching SURF features in consecutive RGB images. Moreover, due to the registration accuracy would be influenced by the initial pose of features in original...
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