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This paper presents a system for robust dynamic human surface reconstruction using a single Kinect. The single Kinect provides a self-occluded and noisy RGBD data. Thus it is challenging to track the whole human surface robustly. To overcome both incompleteness and data noise, we adopt a template to confine the shape in the un-seen part, and propose a two-stage tracking pipeline. The first stage tracks...
We introduce a general technique of dynamically augmenting physical models. Using a handheld projector attached with an RGBD camera, we map the physical model with corresponding textures, and develop a real-time dynamic spatial augmented reality (SAR) system named iSarProjection. Compared to traditional huge and complex tracking system, this technique, based on KinectFusion, supports precise registration...
This paper presents some results on isogeometric analysis (IGA) using a new class of basis functions, named truncated interpolatory basis function (TIBF). While much work in IGA has been done based on approximating basis functions, such as B-splines, NURBS and T-splines, little work is reported so far using interpolatory schemes. In this article, a truncated interpolatory basis function is proposed...
We present a novel 3D ear shape matching algorithm. Firstly, we compute the saliency value of every point in 3D ear point cloud using the Gaussian-weighted average of the mean curvature, sort the points in accordance with their saliency value, Then we get the salient key points set using the poisson sampling. Finally, we fit the neighborhood of each salient key point using quadratic principal manifold,...
This paper proposes a consolidation method for scanned point clouds that are usually corrupted by noises, outliers, and thickness. At the beginning, we construct neighborhood of a point based on hared nearest neighbor relationship. Then, the points with few number of neighbors are regarded as outliers and removed. After that, we propose a feature-aware projection operator to thin the thick point clouds...
The placement of knot vector and the determination of control points are two fundamental issues in B-spline surface reconstruction. This paper presents a variational approach to construct B-spline surfaces from a set of data points. The approach finds the optimal placement of knots and control points simultaneously while most previous methods determine the knots heuristically or in a separate step...
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