Paper
13 March 2009 Fast 3D vision with robust structured light coding
Chadi Albitar, Pierre Graebling, Christophe Doignon
Author Affiliations +
Abstract
In this paper we present a new monochromatic pattern for a robust structured light coding based on the spatial neighborhood scheme and using the M-array approach. We tackle the design problem with the definition of a small set of symbols associated to simple geometrical features. One of these primitives embeds the local orientation of the pattern which is helpful for the neighborhood detection during the decoding process. The pattern codification is robust as it allows a high error rate characterized by an average Hamming distance higher than 6. The design of the pattern takes into account its integration in an endoscopic tool. Moreover, the color to be used in the projection is chosen after a study on the interaction color-organ. The aim of this work is to use this pattern for the real-time 3D reconstruction of dynamic scenes, particularly in endoscopic surgery, with fast and reliable detection and decoding stages. Ongoing results are presented to assess both the capabilities of he proposed pattern and the reliable decoding algorithm.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chadi Albitar, Pierre Graebling, and Christophe Doignon "Fast 3D vision with robust structured light coding", Proc. SPIE 7261, Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling, 726113 (13 March 2009); https://doi.org/10.1117/12.808179
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CITATIONS
Cited by 6 scholarly publications and 2 patents.
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KEYWORDS
3D modeling

Structured light

Abdomen

Calibration

Endoscopy

Cameras

Reconstruction algorithms

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