Dense 3D Reconstruction from High Frame-Rate Video Using a Static Grid Pattern

IEEE Transactions on Pattern Analysis and Machine Intelligence
Ryusuke SagawaHiroshi Kawasaki

Abstract

Dense 3D reconstruction of fast moving objects could contribute to various applications such as body structure analysis, accident avoidance, and so on. In this paper, we propose a technique based on a one-shot scanning method, which reconstructs 3D shapes for each frame of a high frame-rate video capturing the scenes projected by a static pattern. To avoid instability of image processing, we restrict the number of colors used in the pattern to less than two. The proposed technique comprises (1) an efficient algorithm to eliminate ambiguity of projected parallel-line patterns by using intersection points, (2) a batch reconstruction algorithm of multiple frames by using spatio-temporal constraints, and (3) an efficient detection method of color-encoded grid pattern based on de Bruijn sequence. In the experiments, the line detection algorithm worked effectively and the dense reconstruction algorithm produces accurate and robust results. We also show the improved results by using temporal constraints. Finally, the dense reconstructions of fast moving objects in a high frame-rate video are presented.

References

Feb 4, 2005·IEEE Transactions on Pattern Analysis and Machine Intelligence·James DavisSzymon Rusinkiewicz
Mar 4, 2005·IEEE Transactions on Pattern Analysis and Machine Intelligence·Yuri Boykov, Vladimir Kolmogorov
Mar 11, 2006·IEEE Transactions on Pattern Analysis and Machine Intelligence·Thomas P Koninckx, Luc Van Gool
Jan 1, 1987·IEEE Transactions on Pattern Analysis and Machine Intelligence·K L Boyer, A C Kak

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Citations

Jan 14, 2016·IEEE Transactions on Pattern Analysis and Machine Intelligence·Minh VoYaser Sheikh
Sep 1, 2016·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·T PetkovicM Donlic
Jan 24, 2017·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Jianjun LeiChunping Hou
Oct 19, 2017·Optics Express·Florian Willomitzer, Gerd Häusler
Nov 25, 2018·Optics Express·Haosong YueXingming Wu
Oct 19, 2017·Optics Express·Ruodai LiXuemei Xie

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