In this study, stereo vision system is applied to visual servoing of a mobile manipulator. The robot can recognize a target and compute the 3D position of the target by using a stereo vision system. A stereo vision system enables the robot to find the position of a target without additional information while a monocular vision system needs properties such as geometric shape of a target. Many al...

In this study, the authors present a new area-based stereo matching algorithm that computes dense disparity maps for a real-time vision system. Although many stereo matching algorithms have been proposed in recent years, correlation-based algorithms still have an edge because of speed and less memory requirements. The selection of appropriate shape and size of the matching window is a difficult...

Many real-time stereo vision systems are available on lowpower platforms. They all either use a local correlation-like stereo engine or perform dynamic programming variants on a scan-line. However, when looking at high-performance global stereo methods as listed in the upper third of the Middlebury database, the low-power real-time implementations for these methods are still missing. We propose...

3D modeling of complex objects is an important task of computer graphics and poses substantial difficulties to traditional synthetic modeling approaches. The multi-view stereo reconstruction technique, which tries to automatically acquire object models from multiple photographs, provides an attractive alternative. The whole reconstruction process of the multi-view stereo technique is introduced...

Mapping of the Earth’s surface from satellite images is a continuing application in remote sensing, which has been distinctly pushed with the increasing availability of very high-resolution image data. In most of the missions, stereo images can be acquired making 3D mapping from space very attractive, as high accuracy and level of detail become feasible from such data. In this paper, several ca...

today radiology and imaging are the only and main method to generate geometrical data from body. 3d model of the body will give us the best and reliable information for better understanding and diagnostic. on the other hand with development of cad/cam and rapid prototyping, the 3d printers were born to build 3d models without considering the geometry. today the 3d printers are able to makes a 3...

The capture of three dimensional structure from two dimensional images has received considerable attention in computer vision. Existing work has concentrated on use of stereo camera systems and the reconstruction of small objects. Recently, single cameras in motion have been used to capture sections of scenery which are subsequently reconstructed by skilled technicians with a selection of compu...

Digital orthoimage (or orthophoto) is a type of information-rich digital products and has found applications in many fields. However, digital orthoimage itself is a 2-dimensional product and therefore it is insufficient for many applications. On the other hand, the traditional stereo model of photogrammetry formed from a pair of overlapping aerial photographs offer the possibility of both 3D me...

In this paper a new stereo-based 3D head tracking technique, based on scale-invariant feature transform (SIFT) features is proposed. A 3D head tracker is very important preprocessing for many vision applications. The proposed method is robust to out of plane rotations and translations and also invariant to sudden changes in time varying illumination. We present experiments to test the accuracy ...

Stereo correspondence matching is a key problem in many applications like computer and robotic vision to determine Three-Dimensional (3D) depth information of objects which is essential for 3D reconstruction. This paper presents a 3D reconstruction technique with a fast stereo correspondence matching which is robust in tackling additive noise. The additive noise is eliminated using a fuzzy filt...