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Showing 1 to 3 of 3 for “"3D Point-Cloud Processing"”.

  1. Supervoxel Based Object Detection and Seafloor Segmentation Using Novel 3d Side-Scan Sonar

    … the side-scan sonar now produces a true 3D point cloud representation of the seafloor embedded with echo intensity. This creates a need to develop algorithms to process the incoming 3D data for applications such as object detection and segmentation, and an opportunity to leverage advances …

    vt Repository record for Supervoxel Based Object Detection and Seafloor Segmentation Using Novel 3d Side-Scan Sonar (opens in a new tab)

  2. Covariance based point cloud descriptors for object detection and classification

    Processing 3D point data is of primary interest in many areas of computer vision, including object grasping, robot navigation, and 3D object recognition. The recent introduction of cheap range sensors like the Microsoft Kinect has created a great interest in the computer vision community towards …

    umn Repository record for Covariance based point cloud descriptors for object detection and classification (opens in a new tab)