A point cloud as a collection of points is poised to bring about a revolution in acquiring and
generating three‐dimensional (3D) surface information of an object in 3D reconstruction …

With the technology development of medical industry, processing data is expanding rapidly
and computation time also increases due to many factors like 3D, 4D treatment planning, the …

Point cloud registration sits at the core of many important and challenging 3D perception
problems including autonomous navigation, SLAM, object/scene recognition, and …

Since its introduction in the early 1990s, the Iterative Closest Point (ICP) algorithm has
become one of the most well-known methods for geometric alignment of 3D models. Given …

We present a probabilistic registration algorithm that robustly solves the problem of rigid-
body alignment between two shapes with high accuracy, by aptly modeling measurement …

摘要便宜的物体快速三维建模技术是当前计算机视觉领域重要的研究课题.
给出了一种基于Kinect 传感器的快速物体重建方法, 以及基于该方法的一种图形处理器(Graphic …

We propose a method to produce laser scan quality 3-D face models from a freely moving
user with a low-cost, low resolution depth camera. Our approach does not rely on any prior …

We present a real-time 3D face identification system using a consumer level depth camera
(PrimeSensor). Our system takes a noisy sequence as input and produces reliable …

In this paper, we propose a new algorithm for pairwise rigid point set registration with
unknown point correspondences. The main properties of our method are noise robustness …

Registration of Point Cloud Data (PCD) forms a core component of many 3D vision
algorithms such as object matching and environment reconstruction. In this paper, we …