Metric rectification for perspective images of planes

We describe the geometry constraints and algorithmic implementation for metric rectification of planes. The rectification allows metric properties, such as angles and length ratios, to be measured on the world plane from a perspective image. The novel contributions are: first, that in a stratified context the various forms of providing metric information, which include a known angle, two equal though unknown angles, and a known length ratio; can all be represented as circular constraints on the parameters of an affine transformation of the plane-this provides a simple and uniform framework for integrating constraints; second, direct rectification from right angles in the plane; third, it is shown that metric rectification enables calibration of the internal camera parameters; fourth, vanishing points are estimated using a Maximum Likelihood estimator; fifth, an algorithm for automatic rectification. Examples are given for a number of images, and applications demonstrated for texture map acquisition and metric measurements.

[1]  Stéphane Laveau Geometrie d'un systeme a n cameras. Theorie. Estimation. Applications , 1996 .

[2]  Luc Van Gool,et al.  The cascaded Hough transform as an aid in aerial image interpretation , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[3]  Bill Triggs,et al.  Autocalibration from Planar Scenes , 1998, ECCV.

[4]  Soren W. Henriksen,et al.  Manual of photogrammetry , 1980 .

[5]  Richard Szeliski,et al.  Image mosaicing for tele-reality applications , 1994, Proceedings of 1994 IEEE Workshop on Applications of Computer Vision.

[6]  O. Faugeras,et al.  3-D Reconstruction of Urban Scenes from Sequences of Images , 1995 .

[7]  J J Koenderink,et al.  Affine structure from motion. , 1991, Journal of the Optical Society of America. A, Optics and image science.

[8]  Olivier Faugeras,et al.  Automatic calibration and removal of distortion from scenes of structured environments , 1995, Optics & Photonics.

[9]  Bill Triggs,et al.  Autocalibration and the absolute quadric , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[10]  O. D. Faugeras,et al.  Camera Self-Calibration: Theory and Experiments , 1992, ECCV.

[11]  O. Faugeras Stratification of three-dimensional vision: projective, affine, and metric representations , 1995 .

[12]  David A. Forsyth,et al.  Efficient model library access by projectively invariant indexing functions , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[13]  Robert T. Collins,et al.  Matching perspective views of coplanar structures using projective unwarping and similarity matching , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[14]  J. G. Semple,et al.  Algebraic Projective Geometry , 1953 .