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  2. Point cloud - Wikipedia

    en.wikipedia.org/wiki/Point_cloud

    A point cloud image of a torus Geo-referenced point cloud of Red Rocks, Colorado (by DroneMapper) A point cloud is a discrete set of data points in space. The points may represent a 3D shape or object. Each point position has its set of Cartesian coordinates (X, Y, Z).

  3. Lidar - Wikipedia

    en.wikipedia.org/wiki/Lidar

    Lidar produces plant contours as a "point cloud" with range and reflectance values. This data is transformed, and features are extracted from it. If the species is known, the features are added as new data. The species is labelled and its features are initially stored as an example to identify the species in the real environment.

  4. Point Cloud Library - Wikipedia

    en.wikipedia.org/wiki/Point_Cloud_Library

    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 ...

  5. Volumetric capture - Wikipedia

    en.wikipedia.org/wiki/Volumetric_capture

    Leica HDS-3000 LIDAR. LIDAR scanning describes a survey method that uses laser-sampled points densely packed to scan static objects into a point cloud. This requires physical scanners and produces enormous amounts of data. In 2007 the band Radiohead used it extensively to create a music video for "House of Cards", capturing point cloud ...

  6. LAS file format - Wikipedia

    en.wikipedia.org/wiki/LAS_file_format

    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]

  7. List of datasets in computer vision and image processing

    en.wikipedia.org/wiki/List_of_datasets_in...

    Multi-modal dataset for obstacle detection in agriculture including stereo camera, thermal camera, web camera, 360-degree camera, lidar, radar, and precise localization. Classes labelled geographically. >400 GB of data Images and 3D point clouds Classification, object detection, object localization 2017 [52] M. Kragh et al.

  8. Geological structure measurement by LiDAR - Wikipedia

    en.wikipedia.org/wiki/Geological_structure...

    LiDAR data is mainly stored in a point cloud format(.las). The captured point cloud data store X, Y Z geometric data. Each data point is obtained from a single laser scan and represents a local geo-referenced spatial datum. [20] It can represent realistic and three-dimensional rock faces in a remote and inaccessible natural terrain. [21]

  9. Computer representation of surfaces - Wikipedia

    en.wikipedia.org/wiki/Computer_representation_of...

    Some open surfaces and surfaces closed in one direction may be flattened into a plane without deformation of the surface. For example, a cylinder can be flattened into a rectangular area without distorting the surface distance between surface features (except for those distances across the split created by opening up the cylinder).