In stereo vision, 3D information is reconstructed from two images of the same scene taken from different viewpoints. Different approaches to stereo disparity estimation have been extensively compared in several studies [1, 3]. Most stereo algorithms perform well in textured image areas, but often fail when there is only weak texture, due to the correspondence problem. Here local matching fails,...

by far, many stereo-matching techniques have been successfully proposed and applied in digital aerial photogrammetry. however, due to some problems such as large parallaxes, occlusions, geometric deformations, and repetitive patterns in convergent close range images, these methods may not be applicable to the same level of success as that of aerial imagery. in order to overcome these shortcomin...

In this paper we describe different techniques of rendering stereo scenes in real-time. We discuss the physical properties of the given stereo setup and revise some basics knowledge needed for generating the stereo pairs. After that we discuss several techniques for rendering stereo pairs according to correctness. We explain certain effects and their appearance in a stereo rendered scene. Final...

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 proposes a novel technique to computing geometric information from images captured under parallel projections. Parallel images are desirable for stereo reconstruction because parallel projection significantly reduces foreshortening. As a result, correlation based matching becomes more effective. Since parallel projection cameras are not commonly available, we construct parallel image...

This article describes technical basics and applications of graphically interactive and online Virtual Reality (VR) frameworks. It automatically extracts and displays left and right stereo images from the Internet search engines, e.g., Google Image Search. Within a short waiting time, many 3D related results are returned to the users regarding aligned left and right stereo photos; these results...

Stereo matching is one of the most active research areas in computer vision. While a large number of algorithms for stereo correspondence have been developed, research in some branches of the field has been constrained due to the few number of stereo datasets with ground truth disparity maps available. Having available a large dataset of stereo images with ground truth disparity maps would boos...

Panoramas and object movies are popular image-based techniques for modeling and rendering 3D scenes and objects. In this paper, we present a method which allows the authors of virtual exhibition systems to produce an augmented stereo panorama by interactively integrating stereo object movies into a stereo panorama. When navigating in the augmented stereo panorama with a stereoscopic display, th...

This paper presents an approach of fusing images from many video cameras or a moving video camera with external orientation data (e.g. GPS and INS data) into a few mosaiced images that preserve 3D information. In both cases, a virtual 2D array of cameras with FOV overlaps is formed to generate the whole coverage of a scene (or an object). We propose a representation that can re-organize the ori...

Almost a ll voice communications are based on monophonic narrowband speech. Wideband stereophonic communications provide a more natural sounding environment. This holds especially true for teleconferencing applications, where the localization information in the stereo signal adds a new dimension to the communication. As of today, there is no standardized speech codec with full stereo support. S...