Plane Segmentation of Kinect Point Clouds using RANSAC | Zendy

Rıfat Kurban | Zendy; Florenc Skuka | Zendy; Hakki Bozpolat | Zendy

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Plane Segmentation of Kinect Point Clouds using RANSAC

Author(s) -

Rıfat Kurban,

Florenc Skuka,

Hakki Bozpolat

Publication year - 2015

Language(s) - English

Resource type - Conference proceedings

DOI - 10.15849/icit.2015.0098

Subject(s) - ransac , point cloud , computer vision , artificial intelligence , computer science , segmentation , plane (geometry) , image segmentation , point (geometry) , geometry , mathematics , image (mathematics)

In this paper segmentation of planes in point cloud data generated by Microsoft Kinect is detected by using RANSAC method. Two experimental data are acquired by OpenNI and OpenCV library. Kinect camera is first calibrated and the holes in the acquired data are filled. Then, the data is filtered, downsampled and segmented via Point Cloud Library (PCL). Distance threshold and normal weighted distance parameters of RANSAC algorithm are evaluated in the experiments. Keywords—plane segmentation, Kinect, point cloud library

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