WxBS: Wide Baseline Stereo Generalizations

Stereo fusion: Combining refractive and binocular disparity

The performance of depth reconstruction in binocular stereo relies on how adequate the predefined baseline for a target scene is. Wide-baseline stereo is capable of discriminating depth better than the narrow-baseline stereo, but it often suffers from spatial artifacts. Narrow-baseline stereo can provide a more elaborate depth map with fewer artifacts, while its depth resolution tends to be bia...

Dense Wide-Baseline Stereo with Varying Illumination and its Application to Face Recognition

Title of dissertation: Dense Wide-Baseline Stereo with Varying Illumination and its Application to Face Recognition Carlos D. Castillo, Doctor of Philosophy, 2012 Dissertation directed by: Professor David W. Jacobs Department of Computer Science We study the problem of dense wide baseline stereo with varying illumination. We are motivated by the problem of face recognition across pose. Stereo m...

Periodic Textures in Wide Baseline Stereo

This study addresses the problem of finding correspondences for wide baseline stereo. Texture has traditionally been utilised as a single-image cue for 3D shape reconstruction (shape-from-texture); at the same time, its role in multiview scene reconstruction has been very limited. In stereo image matching, repetitive patterns are usually considered as disturbing factor since they tend to produc...

Robust Wide-Baseline Stereo Matching for Sparsely Textured Scenes

Wide-baseline stereo vision for Mars rovers

In order to perform localization and navigation over significant distances (up to a few kilometers), it is important to be able to accurately map the terrain to be traversed. Local methods, such as conventional stereo, do not scale well to large distances and prevent longrange planning. In this paper, we discuss wide-baseline stereo techniques for rovers. In wide-baseline stereo, the image pair...