Real-time range acquisition by adaptive structured light

IEEE Transactions on Pattern Analysis and Machine Intelligence
Thomas P Koninckx, Luc Van Gool

Abstract

The goal of this paper is to provide a "self-adaptive" system for real-time range acquisition. Reconstructions are based on a single frame structured light illumination. Instead of using generic, static coding that is supposed to work under all circumstances, system adaptation is proposed. This occurs on-the-fly and renders the system more robust against instant scene variability and creates suitable patterns at startup. A continuous trade-off between speed and quality is made. A weighted combination of different coding cues--based upon pattern color, geometry, and tracking--yields a robust way to solve the correspondence problem. The individual coding cues are automatically adapted within a considered family of patterns. The weights to combine them are based on the average consistency with the result within a small time-window. The integration itself is done by reformulating the problem as a graph cut. Also, the camera-projector configuration is taken into account for generating the projection patterns. The correctness of the range maps is not guaranteed, but an estimation of the uncertainty is provided for each part of the reconstruction. Our prototype is implemented using unmodified consumer hardware only and, therefore, is ...Continue Reading

References

Mar 4, 2005·IEEE Transactions on Pattern Analysis and Machine Intelligence·Yuri Boykov, Vladimir Kolmogorov
Jun 14, 2005·Fertility and Sterility·Philippe KoninckxIvo Brosens
Jan 1, 1987·IEEE Transactions on Pattern Analysis and Machine Intelligence·K L Boyer, A C Kak

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Citations

Apr 12, 2011·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Xu ZhangYoufu Li
Mar 5, 2013·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Daesik Kim, Sukhan Lee
Sep 3, 2010·Journal of the Optical Society of America. A, Optics, Image Science, and Vision·Yongchang WangLaurence G Hassebrook
Apr 15, 2010·Optics Express·Kai LiuLaurence G Hassebrook
Aug 4, 2012·Applied Optics·Xu ZhangLimin Zhu
May 2, 2015·The International Journal of Medical Robotics + Computer Assisted Surgery : MRCAS·Bingxiong LinYuncheng You
Sep 10, 2015·IEEE Transactions on Pattern Analysis and Machine Intelligence·Ryusuke SagawaHiroshi Kawasaki
Aug 3, 2011·IEEE Transactions on Pattern Analysis and Machine Intelligence·Yongchang WangLaurence G Hassebrook
Oct 26, 2013·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·Yueyi ZhangFeng Wu
Feb 14, 2008·IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society·S Y ChenJianwei Zhang
Jan 14, 2016·IEEE Transactions on Pattern Analysis and Machine Intelligence·Minh VoYaser Sheikh
Jul 25, 2021·Sensors·Yikang Li, Zhenzhou Wang

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