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Development of an AR Drawing System with Point Cloud Data suitable for Real-time Gripping Movement by using Kinect
Author(s) -
Hiroki Inatome,
Masato Soga
Publication year - 2018
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2018.07.247
Subject(s) - computer science , sketch , point cloud , artificial intelligence , computer vision , virtual actor , computer graphics (images) , virtual image , orientation (vector space) , movement (music) , rgb color model , point (geometry) , human–computer interaction , object (grammar) , interface (matter) , virtual reality , algorithm , philosophy , geometry , mathematics , aesthetics , bubble , maximum bubble pressure method , parallel computing
Virtual human figures have been used in the conventional human figure sketch learning support system. A learner selects one of the virtual figures for a motif. However, the learner could not intuitively manipulate the virtual human figure in real time to change the orientation of the figure for learner’s favorite viewpoint. Therefore, in this research, we developed a system to change the orientation of the virtual model of human figure intuitively by using the drawing doll as a tangible interface. Specifically, it uses PCL which can acquire point cloud data by RGB-D camera of KINECT, then it acquires and tracks the three-dimensional coordinates of the real object and superimposes and displays the virtual human figure on the real drawing doll. In the verification experiment tracking accuracy was verified and the improvement of the system was discussed.

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