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BMVC
2001

3-D Object Recognition Based on Integration of Range Image and Gray-scale Image

10 years 2 months ago
3-D Object Recognition Based on Integration of Range Image and Gray-scale Image
In this paper, we propose a practical object recognition system which consists of two functional modules. The first is object extraction module using a range image, and the second is a precise position measurement module using a grayscale intensity image. Both high-reliability and high-accuracy can be achieved by effective image integration. We also propose an idea of stereo vision with random-dot pattern projection as an effective way to obtain a range image. This method enables reliable stereo matching, even for objects with no texture. Through an experiment with real images, we have demonstrated that our system has 99.8% recognition reliability and processing time is approximately 5 seconds per image; as a result, the system can be applied to practical industrial robot vision.
Manabu Hashimoto, Kazuhiko Sumi
Added 30 Sep 2010
Updated 30 Sep 2010
Type Conference
Year 2001
Where BMVC
Authors Manabu Hashimoto, Kazuhiko Sumi
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