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Point set registration is the process of aligning two point sets. Here, the blue fish is being registered to the red fish. In computer vision, pattern recognition, and robotics, point-set registration, also known as point-cloud registration or scan matching, is the process of finding a spatial transformation (e.g., scaling, rotation and translation) that aligns two point clouds.
PCL (Point Cloud Library) is an open-source framework for n-dimensional point clouds and 3D geometry processing. It includes several variants of the ICP algorithm. [9] Open source C++ implementations of the ICP algorithm are available in VTK, ITK and Open3D libraries.
PhotoDNA is a proprietary image-identification and content filtering technology [1] widely used by online service providers. [2] [3] History.
Originally introduced for 2D point cloud map matching in simultaneous localization and mapping (SLAM) and relative position tracking, [1] the algorithm was extended to 3D point clouds [2] and has wide applications in computer vision and robotics. NDT is very fast and accurate, making it suitable for application to large scale data, but it is ...
Image registration or image alignment algorithms can be classified into intensity-based and feature-based. [3] One of the images is referred to as the moving or source and the others are referred to as the target, fixed or sensed images. Image registration involves spatially transforming the source/moving image(s) to align with the target image.
SIFT feature matching can be used in image stitching for fully automated panorama reconstruction from non-panoramic images. The SIFT features extracted from the input images are matched against each other to find k nearest-neighbors for each feature. These correspondences are then used to find m candidate matching images for each image.
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Computer stereo vision is the extraction of 3D information from digital images, such as those obtained by a CCD camera.By comparing information about a scene from two vantage points, 3D information can be extracted by examining the relative positions of objects in the two panels.