Title | ||
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Robot-mounted 500-fps 3-D shape measurement using motion-compensated coded structured light method |
Abstract | ||
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A high-frame-rate (HFR) structured light vision is developed for observing moving three-dimensional (3-D) scenes; it is mountable on the end of a robot manipulator for 3-D shape inspection. Our system can simultaneously obtain depth images of 512×512 pixels at 500 fps by implementing a motion-compensated coded structured light method on an HFR camera-projector platform; the 3-D computation is accelerated using the parallel processing on a GPU board. This method can remarkably reduce the synchronization errors in the structured-light-based measurement, which are encountered in the projection of multiple light patterns with different timings; such synchronization errors become larger as the ego-motion of a manipulator becomes larger. We demonstrate the performance of our system by showing several 3-D shape measurement results when the 3-D module is mounted on a fast-moving 6-DOF manipulator as a sensing head. |
Year | DOI | Venue |
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2014 | 10.1109/ROBIO.2014.7090628 | ROBIO |
Keywords | Field | DocType |
3d shape inspection,coded structured light method,parallel processing,motion compensation,moving three-dimensional scenes,3d module,structured-light-based measurement,synchronization errors,hfr camera-projector platform,graphics processing units,robot-mounted 500-fps 3d shape measurement,control engineering computing,3d scenes,6-dof manipulator,shape measurement,ego-motion,3d computation,manipulators,high-frame-rate structured light vision,synchronization error reduction,gpu board,hfr structured light vision,robot vision,robot manipulator,shape,synchronization | Computer vision,Synchronization,Structured light,Computer graphics (images),Computer science,Motion compensation,Parallel processing,Artificial intelligence,Pixel,Robot,D-Shape,Computation | Conference |
Citations | PageRank | References |
1 | 0.36 | 6 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jun Chen | 1 | 12 | 2.48 |
Yongjiu Liu | 2 | 5 | 0.80 |
Qingyi Gu | 3 | 153 | 22.13 |
Tadayoshi Aoyama | 4 | 69 | 28.58 |
Takeshi Takaki | 5 | 222 | 38.04 |
Idaku Ishii | 6 | 355 | 64.37 |