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System and method for rectifying images of three dimensional objects

Patent 6608923 Issued on August 19, 2003. Estimated Expiration Date: Icon_subject June 19, 2019. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

Patent References

Method for performing stereo matching to recover depths, colors and opacities of surface elements
Patent #: 5917937
Issued on: 06/29/1999
Inventor: Szeliski, et al.

Method and apparatus for performing local to global multiframe alignment to construct mosaic images Patent #: 6078701
Issued on: 06/20/2000
Inventor: Hsu, et al.

Inventors

Assignee

Application

No. 336549 filed on 06/19/1999

US Classes:

382/154, 3-D or stereo imaging analysis345/419Three-dimension

Examiners

Primary: Ahmed, Samir
Assistant: Bali, Vikkram

Attorney, Agent or Firm

International Class

G06K 009/00

Abstract

The present invention is embodied in a system and method for rectifying two dimensional images of three dimensional (3D) objects for stereo vision processing. In general, the system and method of the present invention computes 2D projective transforms or homographies derived from specialized projective and affine transforms or components. The affine transform is comprised of a first transform and an optional second transform for image rectification. During image rectification of the present invention, optimization techniques are used for reducing the distortion.

Other References

  • Computing Rectifying Homographies for stereo vision, Loop et al., Computer vision and pattern recognition, Jun. 1999, pp. 125-131.
  • Projective Translations and Affine Stereo Calibration, Ruf et al., Computer vision and pattern recognition, Jun. 1998, pp. 475-481.
  • Rectifying Transformations that Minimize Resampling Effects, Gluckman et al., Computer vision and pattern recognition, Dec. 2001, pp. 111-117.
  • Zhang Zhengyou. Determining the Epipolar Geometry and its Uncertainty: A Review. International Journal of Computer Vision 27(2), 161-195. 199
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