In this work we propose a method for estimating disparity maps from very few
measurements. Based on the theory of Compressive Sensing, our algorithm accurately …

Binocular vision uses the parallax principle of the human eye to obtain 3D information of an
object, which is widely used as an important means of acquiring 3D information for 3D …

This paper presents a survey on existing stereo vision algorithms. Generally, stereo vision
algorithms play an important role in depth estimation. The quality of disparity map as well as …

Free-space detection is considered as one of the most important tasks in intelligent vehicle,
which remains the essential requirement for obstacle detection and path planning. As a part …

The presented multi-user telepresence and teleaction system enables two teleoperators,
which are independently controlled by two human operators, to perform collaborative …

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 …

Stereo matching has been under development for decades and is an important process for
many applications. Difficulties in stereo matching include textureless regions, occlusion …

The interest in content adaptive mesh generation of images has been arising lately due to its
wide area of applications in image processing. The major issue is to represent an image …

Binocular vision is a popular method for 3d measurement, but the precision and efficiency is
still a limitation. In order to solve the problem of low precision and high mismatching rate of …

Disparity calculation is crucial for binocular sensor ranging. The disparity estimation based
on edges is an important branch in the research of sparse stereo matching and plays an …