Dense stereo matching method using a quarter of wavelet transform

3D reconstruction from a set of stereoscopic image pairs requires the ability to match both images: any point in an image should match an homologous point in the other image. Knowing the relative position of the cameras, it is then possible to build a dense disparity map and a Z-buffer which will be used for 3D reconstruction. We propose a new method for computing a dense disparity map thanks to the use of a special wavelet transform less sensitive to discontinuity in disparities and partial occlusions. This method is based on the quarter of wavelet transform. Some experimental results are presented at the end of the paper.