A significant amount of research in the field of stereo vision has been published in the past
decade. Considerable progress has been made in improving accuracy of results as well as …

One of the main challenges for computer-assisted surgery (CAS) is to determine the intra-
operative morphology and motion of soft-tissues. This information is prerequisite to the …

There is an increasing need for passive 3D scanning in many applications that have
stringent energy constraints. In this paper, we present an approach for single frame, single …

This paper presents a GPU-based stereo matching system with good performance in both
accuracy and speed. The matching cost volume is initialized with an AD-Census measure …

In this paper, we consider the problem of stereo matching using loopy belief propagation.
Unlike previous methods which focus on the original spatial resolution, we hierarchically …

We introduce a real-time stereo matching technique based on a reformulation of Yoon and
Kweon's adaptive support weights algorithm [1]. Our implementation uses the bilateral grid …

In this paper, the challenge of fast stereo matching for embedded systems is tackled. Limited
resources, eg memory and processing power, and most importantly real-time capability on …

High-quality real-time stereo matching has the potential to enable various computer vision
applications including semi-automated robotic surgery, teleimmersion, and 3-D video …

In this paper we present a novel slanted-plane model which reasons jointly about occlusion
boundaries as well as depth. We formulate the problem as one of inference in a hybrid MRF …

This paper introduces a new segmentation-based approach for disparity optimization in
stereo vision. The main contribution is a significant enhancement of the matching quality at …