A set of cameras with fisheye lenses have been used to capture a wide field of view. The
traditional scan-line stereo algorithms based on epipolar geometry are directly inapplicable …

This paper presents a novel approach, which relies on content-based guided image filtering
and weighted semi-global optimization for fast and accurate disparity estimation. The …

One popular technique for multimodal imaging is generalized assorted pixels (GAP), where
an assorted pixel array on the image sensor allows for multimodal capture. Unfortunately …

Stereo correspondence is challenging under realistic conditions due to uncontrolled factors
that affect input images, including illumination inconsistencies and radiometric variations …

Traditional stereo dense image matching (DIM) methods normally predefine a fixed window
to compute matching cost, while their performances are limited by the matching window …

Supervised learning methods have been used to calculate the stereo matching cost in a lot
of literature. These methods need to learn parameters from public datasets with ground truth …

Gradient similarity is a simple, yet powerful, data descriptor which shows robustness in
stereo matching. In this paper, a RGB vector space is defined for stereo matching. Based on …

Depth information can be obtained using stereo matching algorithms, which compute the
horizontal displacement (disparity) of the corresponding points and convert to depth …

Supervised stereo matching costs need to learn model parameters from public datasets with
ground truth disparity maps. However, it is not so easy to obtain the ground truth disparity …

We comparatively discuss a set of confidence measures for stereo analysis by testing them
on semi-global matching (SGM) cost functions. The aim is a prediction of (potentially) …