Incorporating the Epipolar Constraint into a Multiresolution Algorithm for Stereo Image Matching.
Julian F. Magarey, Anthony Dick, Michael J. Brooks, Garry N. Newsam, Anton van den Hengel · 1999
We present a new algorithm for matching calibrated stereo image pairs. Matching is achieved within a multiresolution framework that utilises a complex wavelet transform of each image. Integrated within this coarse-to-fine approach is a regularisation step at each resolution. Calibration information, in the form of the epipolar constraint, is incorporated into the regularisation step. Uncertainty in the calibration parameters can be accommodated. This composite matching scheme avoids the need for expensive prior resampling of one image along epipolar lines and yields excellent results in various tests with real images. Keywords: Wavelets, matching, stereo vision, epipolar constraint. 1 INTRODUCTION A major challenge in computer vision is the socalled stereo vision task of reliably reconstructing a 3D representation of a scene given two perspective views. The key sub-problem is to accurately locate a dense set of corresponding pairs, these being image points that depict a common sce...