An Active Multibaseline Stereo System with Real-Time Image Acquisition

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.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1994
Accession Number
ADA286109

Entities

People

  • C. L. Zitnick
  • Jon Webb
  • Sing B. Kang
  • Takeo Kanade

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Air Platforms
  • C4I

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Aspect Ratio
  • Calibration
  • Computations
  • Computer Science
  • Computer Stereo Vision
  • Dynamic Range
  • Errors
  • Frequency
  • Image Processing
  • Images
  • Sine Waves
  • Three Dimensional
  • Two Dimensional
  • Video
  • Video Signals

Readers

  • Computer Vision.