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Active Stereo Vision

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Computer Vision

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Camera Calibration

Definition

Active stereo vision utilizes multiple cameras for 3D reconstruction, gaze control, measurement, tracking, and surveillance. Active stereo vision is to be contrasted with passive or dynamic stereo vision in that passive systems treat stereo imagery as a series of independent static images while active and dynamic systems employ temporal constraints to integrate stereo measurements over time. Active systems utilize feedback from the image streams to manipulate camera parameters, illuminants, or robotic motion controllers in real time.

Background

Stereo vision uses two or more cameras with overlapping fields of view to estimate 3D scene structure from 2D projections. Binocular stereo vision – the most common implementation – uses exactly two cameras, yet one can utilize more than two at the expense of computational speed within the same algorithmic framework.

The “passive” stereo vision problem can be described as a system of at least two...

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Author information

Authors and Affiliations

  1. Faculty of Business and Information Technology, University of Ontario Institute of Technology, Oshawa, ON, Canada

    Andrew Hogue

  2. Department of Computer Science and Engineering, York University, Toronto, ON, Canada

    Michael R. M. Jenkin

Authors
  1. Andrew Hogue
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  2. Michael R. M. Jenkin
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Editor information

Editors and Affiliations

  1. Institute of Industrial Science, The University of Tokyo, Tokyo, Japan

    Katsushi Ikeuchi

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© 2014 Springer Science+Business Media New York

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Hogue, A., Jenkin, M.R.M. (2014). Active Stereo Vision. In: Ikeuchi, K. (eds) Computer Vision. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-31439-6_282

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