Stereo vision is a challenging problem and it is a wide research topic in computer vision. It has got a lot of attraction because it is a cost efficient way in place of using costly sensors. Stereo vision has found a great importance in many fields and applications in today’s world. Some of the applications include robotics, 3-D scanning, 3-D reconstruction, driver assistance systems, forensics...

Stereo image is frequently used as preprocessing of stereo vision techniques. Although stereo image rectification is performed using look-up tables which are computed in advance, it takes a long time to do rectification transformation on mobile platforms. Thus stereo image rectification process can be burdensome in stereo vision applications on mobile platforms. This paper presents an approach ...

This paper analyses the strengths and weaknesses of some of the most popular traditional and contemporary 3D vision techniques for accuracy, robustness and computational efficiency. A novel technique is proposed that extends traditional stereo vision algorithms using some of the previously identified techniques resulting in improved robustness, accuracy and computational efficiency. The new mul...

In stereo vision, an omnidirectional camera has high distortion compared to a standard camera, so the calibration is very decisive in its matching. this study, we will perform matching for with vertical and horizontal configuration that result of image's depth 360-degree field view by transforming image using calibration-based method. The configuration, can be matched directly, but configuring ...

Several techniques for use in a stereo vision system are described. These include a stereo camera model solver, a high resolution stereo correlator for producing accurate matches with accuracy and confidence estimates, a search technique for using the correlator to produce a dense sampling of matched points for a pair of pictures, and a ground surface finder for distinguishing the ground from o...

This paper presents a stereoscopic vision system for the mini-robot Khepera. The vision system performs objects detection by using the stereo disparity and stereo correspondence. The stereoscopic vision system enhances robot’s visual perception ability by grabbing stereo images and analysis 3D objects, while the robot doesn’t need to move. The simple principle of our stereo vision is the less d...

Stereo vision is important m determining three-dimensional positions of tile visible surfaces in images. Most existing stereo matching methods involve matching low-level image features such as edges. A stereo matching technique based on matching high-level image features is described in this paper. The high-level image features extracted are topographic structures, arc segments and region segme...

Omnidirectional stereo vision systems have been widely used as primary vision sensors in intelligent robot 3D measurement tasks, which require stereo calibration and rectification. Current stereo calibration and rectification methods suffer from complex calculations or a lack of accuracy. This paper establishes a simple and effective equivalency between an omnidirectional stereo vision system a...