The Robotics Institute

Carnegie Mellon Robotics Institute

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Abstract

We describe our four-camera multibaseline stereo system in a convergent configuration and our implementation of a parallel depth recovery scheme for this system. Our system is capable of image capture at video rate. This is critical in applications that require three-dimensional tracking. We obtain dense stereo depth data by projecting a light pattern of frequency modulated sinusoidally varying intensity onto the scene, thus increasing the local discriminability at each pixel and facilitating matches. In addition, we make most of the camera view areas by converging them at a volume of interest. Results indicate that we are able to extract stereo depth data that are, on the average, less than 1 mm in error at distances between 1.5 to 3.5 m away from the cameras.

Notes

Associated Center(s) / Consortia: Vision and Autonomous Systems Center

Text Reference

Sing Bing Kang, J. Webb, Charles Zitnick, and Takeo Kanade, "An Active Multibaseline Stereo System with Real-Time Image Acquisition," tech. report CMU-CS-94-167, Computer Science Department, Carnegie Mellon University, September, 1994

BibTeX Reference

@techreport{Kang_1994_1446,
   author = "Sing Bing Kang and J. Webb and Charles Zitnick and Takeo Kanade",
   title = "An Active Multibaseline Stereo System with Real-Time Image Acquisition",
   booktitle = "",
   institution = "Computer Science Department",
   month = "September",
   year = "1994",
   number= "CMU-CS-94-167",
   address= "Pittsburgh, PA",
}

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