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- W2061373316 abstract "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." @default.
- W2061373316 created "2016-06-24" @default.
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- W2061373316 date "2001-01-01" @default.
- W2061373316 modified "2023-09-25" @default.
- W2061373316 title "3-D Object Recognition Based on Integration of Range Image and Gray-scale Image" @default.
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- W2061373316 doi "https://doi.org/10.5244/c.15.27" @default.
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