In dynamic minimally invasive surgery environments, 3D reconstruction of deformable soft-
tissue surfaces with stereo endoscopic images is very challenging. A simple self-supervised …

Autonomous vehicles in intelligent transportation systems must be able to perform reliable
and safe navigation. This necessitates accurate object detection, which is commonly …

Both optical flow and stereo disparities are image matches and can therefore benefit from
joint training. Depth and 3D motion provide geometric rather than photometric information …

The supervised stereo matching methods usually rely on ground truth disparity maps as the
training labels, this limits its practical application in many situations. In this study, we …

The practical application of supervised stereo matching methods is often limited by the
requirement of obtaining ground-truth disparity maps in advance. To address this issue, we …

Deconvolutional networks have attracted extensive attention and have been successfully
applied in the field of computer vision. In this paper we propose a novel two-branch …

State-of-the-art dense stereo matching algorithms have achieved excellent performance,
demonstrating a capability to attain precise matching in most areas. However, current such …

This paper presents a novel method to enhance ground truth disparity maps generated by
Semi-Global Matching (SGM) using Maximum a Posteriori (MAP) estimation. SGM, while not …

Featured Application This work explores the computation of disparity in stereoscopic
laparoscopic images through stereo matching algorithms. By integrating the focal length and …

This paper proposes a novel permutation formulation to the stereo matching problem. Our
proposed approach introduces a permutation volume which provides a natural …