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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.
Lidar (/ ˈ l aɪ d ɑːr /, also LIDAR, LiDAR or LADAR, an acronym of "light detection and ranging" [1] or "laser imaging, detection, and ranging" [2]) is a method for determining ranges by targeting an object or a surface with a laser and measuring the time for the reflected light to return to the receiver.
The LAS (LASer) format is a file format designed for the interchange and archiving of lidar point cloud data. It is an open, binary format specified by the American Society for Photogrammetry and Remote Sensing (ASPRS). The format is widely used [1] and regarded as an industry standard for lidar data. [2][3]
libLAS. libLAS is a library for reading and writing geospatial data encoded in the ASPRS laser (LAS) file format, versions 1.0, 1.1 and 1.2. LAS-formatted data is heavily used in lidar processing operations. The LAS format is a sequential binary format used to store data from sensors and as intermediate processing storage by some applications.
The Point Cloud Library (PCL) is an open-source library of algorithms for point cloud processing tasks and 3D geometry processing, such as occur in three-dimensional computer vision. The library contains algorithms for filtering, feature estimation, surface reconstruction, 3D registration, [5] model fitting, object recognition, and segmentation ...
The reasons for successful word embedding learning in the word2vec framework are poorly understood. Goldberg and Levy point out that the word2vec objective function causes words that occur in similar contexts to have similar embeddings (as measured by cosine similarity ) and note that this is in line with J. R. Firth's distributional hypothesis .
Revenue. $61.92 million (2021) [2] Number of employees. 407 [2] (Dec 2021) Website. velodynelidar.com. Velodyne Lidar is a Silicon Valley –based lidar technology company, headquartered in San Jose, California. It was spun off from Velodyne Acoustics in 2016. [3] As of July 2020, the company has had about 300 customers. [4]
Atmospheric lidar is a class of instruments that uses laser light to study atmospheric properties from the ground up to the top of the atmosphere. Such instruments have been used to study, among other, atmospheric gases, aerosols, clouds, and temperature.