NDLI: Stereo Matching Based on Random Speckle Projection for Dynamic 3D Sensing

Content Provider	IEEE Xplore Digital Library
Author	Jun Jiang Jun Cheng Haifeng Zhao
Copyright Year	2012
Abstract	Real-time 3D sensing has many important applications in areas such as robotic navigation, virtual reality and human-computer interaction. A variety of techniques have been developed for the determination of 3D geometry information such as binocular vision, structured light and their combination. However, existing non-contact optical 3D sensing approaches have their own limitations in the process of 3D information calculation. The reliability of binocular vision is limited to textures of the object surface, and the measuring accuracy of the method based on structured-light projection is limited to the stability of the light generator and the number of projected images. In this paper, we will combine random speckle projection with stereo matching algorithms to study the related problems on 3D measurement in the scene. An unique random speckle pattern is projected to encode the object surface to reduce the influence of projector flickering, and improve the accuracy of stereo matching. Besides, we take advantage of temporal consistency to reduce the range of disparity updating to improve the speed of 3D sensing further. The tests performed on real captured images confirm the validity of our approach.
Starting Page	191
Ending Page	196
File Size	970191
Page Count	6
File Format	PDF
ISBN	9781467346511
DOI	10.1109/ICMLA.2012.40
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Accuracy stereo matching Speckle Cameras Robot sensing systems Adaptive optics disparity updating speckle projection Pattern matching binocular vision
Content Type	Text
Resource Type	Article

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