Theory and Practice of Projective Rectification Export

@article{citeulike:3270836, abstract = {This paper gives a new method for image rectification, the process of resampling pairs of stereo images taken from widely differing viewpoints in order to produce a pair of ” matched epipolar projections”. These are projections in which the epipolar lines run parallel with the x-axis and consequently, disparities between the images are in the x-direction only. The method is based on an examination of the fundamental matrix of Longuet-Higgins which describes the epipolar geometry of the image pair. The approach taken is consistent with that advocated by Faugeras (1992) of avoiding camera calibration. The paper uses methods of projective geometry to determine a pair of 2D projective transformations to be applied to the two images in order to match the epipolar lines. The advantages include the simplicity of the 2D projective transformation which allows very fast resampling as well as subsequent simplification in the identification of matched points and scene reconstruction.}, author = {Hartley, Richard I.}, citeulike-article-id = {3270836}, citeulike-linkout-0 = {http://dx.doi.org/10.1023/A:1008115206617}, citeulike-linkout-1 = {http://www.springerlink.com/content/j878847184316661}, day = {1}, doi = {10.1023/A:1008115206617}, journal = {International Journal of Computer Vision}, keywords = {refthesis, retification}, month = {November}, number = {2}, pages = {115--127}, posted-at = {2009-08-06 05:39:55}, priority = {5}, title = {Theory and Practice of Projective Rectification}, url = {http://dx.doi.org/10.1023/A:1008115206617}, volume = {35}, year = {1999} }

TY - JOUR ID - citeulike:3270836 L3 - citeulike-article-id:3270836 N2 - This paper gives a new method for image rectification, the process of resampling pairs of stereo images taken from widely differing viewpoints in order to produce a pair of “matched epipolar projections”. These are projections in which the epipolar lines run parallel with the x-axis and consequently, disparities between the images are in the x-direction only. The method is based on an examination of the fundamental matrix of Longuet-Higgins which describes the epipolar geometry of the image pair. The approach taken is consistent with that advocated by Faugeras (1992) of avoiding camera calibration. The paper uses methods of projective geometry to determine a pair of 2D projective transformations to be applied to the two images in order to match the epipolar lines. The advantages include the simplicity of the 2D projective transformation which allows very fast resampling as well as subsequent simplification in the identification of matched points and scene reconstruction. IS - 2 JF - International Journal of Computer Vision EP - 127 TI - Theory and Practice of Projective Rectification VL - 35 SP - 115 KW - refthesis KW - retification AU - Hartley, Richard PY - 1999/11/01/ UR - http://dx.doi.org/10.1023/A:1008115206617 ER -