In this paper, a tele-operated gesture recognition mobile robot using a stereo vision is represented. We propose a real-time face and hand classification and 3D position extraction using a stereo vision embedded system. To obtain the disparity image, we used the stereo vision process on FPGA and developed the embedded system to obtain the image sequence for basic image processing. Then we appli...

A novel active stereo vision system with a pair of foveated wide angle lenses is presented. The projection curve of the lens is designed so that it facilitates active vision algorithms for motion analysis, object identi cation, and precise xation. A pair of such lenses are mounted on a specially designed active stereo vision platform. It is compact and light so that it can be mounted on a mobil...

Rendering synthetic simulations into real world scenes is an important application of both Computer Graphics (CG) and Computer Vision (CV). CV techniques have been used to reconstruct the 3D models of the real world scenes. As part of my course project, I’ve implemented computer vision modules for calibrating camera, computing stereo, computing depth-maps, computing 3D models and a graphics int...

This paper describes a visually guided robot that can plan paths, construct maps and explore an indoor environment. The robot uses a trinocular stereo vision system to produce highly accurate depth images at 2 Hz allowing it to safely travel through the environment at 0.5 m/s. The algorithm integrates stereo vision, occupancy grid mapping, and potential field path planning techniques to form a ...

With the constant development of computer science and technology, binocular stereo vision as a special form of computer vision plays a vital role in implementing computer change detection, image correction, three-dimensional reconstruction, and is widely applied in computer vision fields such as aerial mapping, visual navigation, motion analysis and industrial inspection. However, as it is diff...

Stereo or '3D' vision is an important but costly process seen in several evolutionarily distinct lineages including primates, birds and insects. Many selective advantages could have led to the evolution of stereo vision, including range finding, camouflage breaking and estimation of object size. In this paper, we investigate the possibility that stereo vision enables praying mantises to estimat...

We present simple and robust algorithms which use uncalibrated stereo vision to enable a robot manipulator to locate, reach and grasp unmodelled objects in unstructured environments. In the rst stage, an operator indicates the object to be grasped by simply pointing at it. Next, the vision system segments the indicated object from the background, and plans a suitable grasp strategy. Finally, th...

Stereo vision carries far more information about objects, their distance, and their behavior than using a video from a single camera. Hence, stereo cameras are increasingly used in advanced driver assistance systems (ADAS). However, if stereo vision processing could be done at a lower cost and power consumption, and with a higher frame rate, it would have a vast range of other applications in i...

Video surveillance is one of the most studied application in Computer Vision. We propose a novel method to identify and track people in a complex environment with stereo cameras. It uses two stereo cameras to deal with occlusions, two different background models that handle shadows and illumination changes and a new segmentation algorithm that is effective in crowded environments. The algorithm...

In this paper, we propose a trilateral-filter-based depth post processing to handle the occlusion points in order to enhance the quality of depth information and overcome the constraints in stereo vision. According to the experimental result, the depth quality is greatly enhanced especially in the occlusion regions and object boundaries. Proposed algorithm can provide high quality depth informa...