Open Access
20 January 2014 Efficient active depth sensing by laser speckle projection system
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Abstract
An active depth sensing approach by laser speckle projection system is proposed. After capturing the speckle pattern with an infrared digital camera, we extract the pure speckle pattern using a direct-global separation method. Then the pure speckles are represented by Census binary features. By evaluating the matching cost and uniqueness between the real-time image and the reference image, robust correspondences are selected as support points. After that, we build a disparity grid and propose a generative graphical model to compute disparities. An iterative approach is designed to propagate the messages between blocks and update the model. Finally, a dense depth map can be obtained by subpixel interpolation and transformation. The experimental evaluations demonstrate the effectiveness and efficiency of our approach.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
Xuanwu Yin, Guijin Wang, Chenbo Shi, and Qingmin Liao "Efficient active depth sensing by laser speckle projection system," Optical Engineering 53(1), 013105 (20 January 2014). https://doi.org/10.1117/1.OE.53.1.013105
Published: 20 January 2014
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CITATIONS
Cited by 16 scholarly publications.
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KEYWORDS
Speckle pattern

Projection systems

Speckle

Active remote sensing

Binary data

Feature extraction

Sensing systems

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