Stereo-vision in computer vision represents an important field for 3D reconstruction. Real time dense reconstruction, however, is only achieved for high textured surfaces in passive stereo-matching. In this work an active stereo-matching approach is proposed. A projected pattern is used to artificially increase the texture of the measuring object, thus enabling dense reconstruction for one-shot...

One goal of the "Demo III" unmanned ground vehicle program is to enable autonomous nighttime navigation at speeds of up to 10 m.p. h. To perform obstacle detection at night with stereo vision will require night vision cameras that produce adequate image quality for the driving speeds, vehicle dynamics, obstacle sizes, and scene conditions that will be encountered. This paper analyzes the suitab...

One of the trends in computer vision is development of systems using multiple vision sensors. Especially, use of multiple omnidirectional vision sensors (ODVSs) opens up a new application area of computer vision with their wide range of view. As an application of such vision systems, we propose a real-time human tracking system using multiple ODVSs. The system measures people's locations by N-o...

The history of stereo analysis of images dates back more than one hundred years, but stereo analysis of image sequences is a fairly recent subject. Sequences allow time-propagation of results, but also come with particular characteristics such as being of lower resolution, or with less contrast. This article discusses the application of belief propagation (BP), which is widely used for solving ...

Classical stereo vision suffers from two major problems – i) The Correspondence Problem and ii) The (3D) Reconstruction Problem [2]. Many systems try to solve these, including the methodologies of combining ToF camera with stereo vision, most of these use three cameras, keeping classical stereo systems intact [7], but the root causes are still present. I think these are solvable by this new fus...

This paper presents an approach to Simultaneous Localization and Mapping (SLAM) based on stereo vision. Standard stereo techniques are used to estimate 3D scene structure (point clouds). Point clouds at subsequent times are registered to estimate robot motion, and used to build a global environment map. Preliminary experimental results are also presented and discussed. Key-Words: Robot localisa...

Stereopsis is the computation of depth information from views acquired simultaneously from different points in space. For many years, stereopsis was thought to be confined to primates and other mammals with front-facing eyes. However, stereopsis has now been demonstrated in many other animals, including lateral-eyed prey mammals, birds, amphibians and invertebrates. The diversity of animals kno...