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3D Shape Reconstruction from Feature Point Tracking Using High-speed Vision

Summary

We developed a method for 3D shape reconstruction. The strategy is composed of extraction and tracking of feature points using the Gaussian filter and sum of absolute difference based on the characteristics attributable to high-speed vision. Experimental result is shown where 100 feature points can be tracked for fast moving target.


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Fig. 1 Reconstruction object and feature point tracking

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Ishikawa Senoo Laboratory, Department of Information Physics and Computing, Department of Creative Informatics,
Graduate School of Information Science and Technology, University of Tokyo
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