System and method for reconstructing surface elements of solid o

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395119, G06T 1140

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active

055985157

ABSTRACT:
An arrangement for generating reconstructon information to facilitate reconstruction of three-dimensional features of objects in a scene based on two-dimensional images of the scene taken from a plurality of locations. The arrangement includes a plurality of elements including an epipole generating means, a homography generating means and a depth value generating means. The epipole generating means identifies the location of epipoles, that is, the coordinates in each image plane, in which the images were recorded, of the point of intersection of the line interconnecting the centers of projection of the image recorders that record the images. The homography generating means uses the epipoles and the coordinates in the respective images of selected reference points to generate a homography that relates the coordinates of all points in the images. Finally the depth value generating means uses the homography generated by the homography generating means and the coordinates of the projection of at least one other point, other than the selected reference points, in the images to generate, for generating a depth value representative of the distance of the other point relative to the location of at least one of the image recorders. Using the depth values generated for an number of points of objects in the scene and the coordinates of the projections of the points in at least one of the image planes, as determined from the images, the three-dimensional (Euclidean) structures of the objects can be determined.

REFERENCES:
O. Faugeras, "What can be seen in three dimensions with an uncalibrated stereo rig?" In Proc. European Conf. On Computer Vision, Santa Margherita Ligure, Italy, Jun. 1992, pp. 563-578.
R. Hartley, et al., "Stereo from uncalibrated cameras" In Proc. IEEE Conf. on Computer Vision and Pattern Recognition, Champaigne, IL, Jun. 1992, pp. 761-764.
A. Shashua, "Projective Structure from two Uncalibrated Images: Structure From Motion And Recognition," Massachusetts Institute of Technology, A. I. Memo 1363, Sep. 1992.
A. Shashua, "Projective Depth: A Geometric Invariant For 3D Reconstruction From Two Perspective/Orthographic View And For Visual Recognition,", In Fourth Int'l Conf. On Computer Vision, Berlin, Germany, May 11-14, 1993, pp. 583-590.
A. Shashua, "On Geometric And Algebraic Aspects Of 3D Affine And Projective Structures From Perspective 2D Views", Massachusetts Institute of Technology, A. I. Memo 1405, Jul., 1993.

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