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Method and apparatus for reconstructing geometry using geometrically constrained structure from motion with points on planes

Patent 6137491 Issued on October 24, 2000. Estimated Expiration Date: Icon_subject June 5, 2018. 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 and apparatus for rendering graphical images using parallel processing
Patent #: 5546530
Issued on: 08/13/1996
Inventor: Grimaud, et al.

Parallel image generation from cumulative merging of partial geometric images Patent #: 5761401
Issued on: 06/02/1998
Inventor: Kobayashi, et al.

Inventor

Assignee

Application

No. 092721 filed on 06/05/1998

US Classes:

345/419Three-dimension

Examiners

Primary: Nguyen, Phu K.

Attorney, Agent or Firm

International Class

G06F 015/00

Abstract

The invention is embodied in a method for reconstructing 3-dimensional geometry by computing 3-dimensional points on an object or a scene including many objects visible in images taken from different views of the object or scene. The method includes identifying at least one set of initial pixels visible in both the views lying on a generally planar surface on the object, computing from the set of initial pixels an estimated homography between the views, defining at least an additional pixel on the one surface in one of the images and computing from the estimated homography a corresponding additional pixel in the other view, computing an optimal homography and an epipole from the initial and additional pixels (including at least some points not on the planar surface), and computing from the homography and the epipole 3-dimensional locations of points on the object by triangulation between the views of corresponding ones of the pixels. Each of the initial pixels in one of the views corresponds to one of the initial pixels in the other of the views and both correspond to a point on the object.

Other References

  • Faugeras, Oliver, "Three-Dimensional Computer Vision: A Geometric Viewpoint," MIT Press, Cambridge, Massachusetts, 1993, pp. 245-300
  • Hartley, Richard I., "In Defense of the Eight-Point Algorithm," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, No. 6, Jun. 1997, pp. 580-593
  • Luong, Q.-T., and Faugeras, O.D., "Determining the Fundamental Matrix with Planes: Instability and New Algorithms," IEEE Computer Society Conference on Computer Vision and Pattern Recognition, (CVPR '93), New York, New York, Jun. 1993, pp. 489-494
  • Szeliski, Richard and Kang, Sing Bing, "Recovering 3D Shape and Motion from Image Streams Using Nonlinear Least Squares," Journal of Visual Communication and Image Representation, vol. 5, No. 1, Mar. 1994, pp. 10-2
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