2011 · 13 citations · 6 references
EngineeringMechatronics EngineeringRobotics Engineering3D ModelingMachine VisionRobotics3D Imaging3D ReconstructionDepth EstimationMachine Vision For RoboticsMappingPoint Cloud ProcessingDepth Map EstimationDepth Map ReconstructionDepth SensingLaser ScanningSurface Extraction
This paper compares the performance of laser scanner and Kinect when extracting the plane from 3D depth map measured by both sensors. By tilting laser scanner, 3D depth map around robot is generated in this paper and another 3D depth map using Kinect is also generated. To compare the 3D depth map of laser scanner and Kinect, staircases are measured by both sensors and the accuracy of the extracted planes of the staircases is examined. Although laser scanner needs more time to generate 3D depth map, laser scanner-based surface extraction shows more accurate result.
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Real-time human pose recognition in parts from single depth images
Jamie Shotton, Andrew Fitzgibbon, Mat Cook et al. · 2011 · 3.5K citations
Real-time human pose recognition in parts from single depth images
Jamie Shotton, Toby Sharp, Alex Kipman et al. · Communications of the ACM · 2013 · 2.1K citations
Characterization of the compact Hokuyo URG-04LX 2D laser range scanner
Laurent Kneip, Fabien Tâche, Gilles Caprari et al. · 2009 · 126 citations · Full text
Engineering, Mechanical Engineering, Robotics Engineering +13