The process of combining two views of a scene in order to obtain depth information is called stereo vision. When the same is done using a computer it is then called computer stereo vision. Stereo vision is used in robotic application where depth of an object plays a role. Two cameras mounted on a rig is called a stereo camera system. Such a system is able to capture two views and enable robotic...

Many vision applications would benefit from framerate, dense stereo. In this paper we present a robust algorithm implemented on a single board for a PC. The algorithm used is census transform correlation, which is well-suited for hardware implementation. Unlike existing frame-rate stereo methods, census transform correlation is robust to outliers, and does not assume that corresponding points h...

Stereo vision has become more pervasive in embedded and physically-constrained systems. Disparity estimation (DE) algorithms are used in stereo vision to calculate the depth of objects in a scene. They are used in such applications as video surveillance, autonomous vehicles and mobile robots [Cyganek and Siebert 2009]. Algorithms need to satisfy real-time performance demands, with high matching...

Animals with front facing eyes benefit from a substantial overlap in the visual fields of each eye, and devote specialized brain processes to using the horizontal spatial disparities produced as a result of viewing the same object with two laterally placed eyes, to derived depth or 3-D stereo information. This provides the advantage to break the camouflage of objects in front of similarly textu...

In this work, we have developed a system of free-hand pointer by tracking the finger of the speaker with an active stereo vision system and then computing the projection direction in either of the following two modes: the fingerorientation mode and the eye-to-fingertip mode. We prefer the latter for its robustness. In order to allow the speaker to move around in a wider 3D space without reducin...

This thesis presents an implementation of a stereo vision system, using image processing techniques to determine depth information from pairs of stereo images. This system, which aims to aid vehicle reversal, involves working with stereo images of different vehicles, and the distance between the stereo cameras and the target vehicle is determined. For a pair of stereo images, the system algorit...

This paper presents a novel approach to the problem of computing the matching-cost for stereo vision. The approach is based upon a Convolutional Neural Network that is used to compute the similarity of input patches from stereo image pairs. In combination with state-ofthe-art stereo pipeline steps, the method achieves top results in major stereo benchmarks. The paper introduces the problem of s...

This work presents a three-dimensional vision system for inspection activities of installations by remotely operated vehicles. A real-time stereo vision system is used for the acquisition of stereo pairs of images that, after preprocessing, are submitted to a reconstruction procedure in order to obtain three-dimensional coordinates, to perform dimensioning of objects in the acquired images.

Stereo vision for small mobile robots is a challenging problem, particularly when employing embedded systems with limited processing power. However, it holds the promise of greatly increasing the localization, mapping, and navigation ability of mobile robots. To help in scene understanding, objects in the field of vision must be extracted and represented in a fashion useful to the system. At th...

Computation Stereo Vision is a widely researched technique in the fi eld of computer vision for scene reconstruction. One of the main issues to be addressed in stereo vision is the trade-off that needs to be achieved between accuracy and resolution. A wide-baseline offers better resolution in depth estimated, contrarily a narrow baseline though offers good accuracy but suffers from poor depth r...