Source Coding of Stereo Pairs

  • Halûk Aydinoğlu
  • Monson H. Hayes

Abstract

Due to recent advances in display technology, three dimensional (3-D) imaging systems are becoming increasingly more common in applications such as computer vision, virtual reality, terrain mapping, navigation, and image understanding. To achieve 3-D perception, these systems use a stereo pair, which is a pair of images of the same scene acquired from different perspectives. Since there is an inherent redundancy between the images of a stereo pair, data compression algorithms can be employed to transmit and store these images efficiently.

In this chapter, we consider the problem of stereo image coding. We begin with a description of the stereo coding problem, and survey the current approaches to stereo coding. Then, we describe a new coding algorithm that is based on disparity compensation and subspace projection. This algorithm, called the Subspace Projection Technique (SPT), is an incomplete local transform with a data-dependent space-varying transform matrix. The advantage of the SPT approach over other techniques is that it is able to adapt to changes in the cross-correlation characteristics of stereo pairs locally.

Keywords

Entropy Remote Sensing Acoustics Univer 

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Copyright information

© Springer Science+Business Media New York 1997

Authors and Affiliations

  • Halûk Aydinoğlu
  • Monson H. Hayes

There are no affiliations available

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