Abstract | ||
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In this paper, we propose a self-projected structured light method that can reduce the number of projections for fast three-dimensional (3D) shape inspection even when there are large height differences in the measured 3D scene. In our method, multiple curved-stripe patterns generated by a reference 3D shape are projected onto the measured 3D scene, and 3D shapes can be obtained by processing multiple straight-stripe-like patterns projected in the camera view. Compared with the straight-stripe projections in most structured light methods, our self-projected structured light method can reduce the number of curved-stripe projections by facilitating fast processing and accurate acquisition of 3D shapes when a reference 3D shape is provided prior. We implemented our proposed method on a GPU-based high-frame-rate (HFR) structured light system that can obtain and process 512 x 512 depth images in real time at 500 fps, synchronized with an HFR projector. The effectiveness of our self-projected light system was demonstrated by means of several real-time experimental results measured at 500 fps. |
Year | DOI | Venue |
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2015 | 10.2316/Journal.206.2015.5.206-4272 | INTERNATIONAL JOURNAL OF ROBOTICS & AUTOMATION |
Keywords | Field | DocType |
Structured light, high-speed vision, DLP projector, real-time 3D scanner, GPU, shape inspection | Structured light,Engineering drawing,Automated X-ray inspection,Control engineering,Engineering | Journal |
Volume | Issue | ISSN |
30 | 5 | 0826-8185 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hao Gao | 1 | 10 | 1.75 |
Tadayoshi Aoyama | 2 | 69 | 28.58 |
Takeshi Takaki | 3 | 222 | 38.04 |
Idaku Ishii | 4 | 355 | 64.37 |