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...

PURPOSE To investigate the rate of progressive visual field (VF) loss and associated factors for structural or functional progression in preperimetric open-angle glaucoma (OAG). DESIGN Longitudinal, observational study. METHODS We included 127 eyes of 127 preperimetric OAG patients who were treated with topical medication and followed for more than 5 years. All patients underwent stereo opt...

Creating stereo ground truth based on real images is a measurement task. Measurements are never perfectly accurate: the depth at each pixel follows an error distribution. A common way to estimate the quality of measurements are error bars. In this paper we describe a methodology to add error bars to images of previously scanned static scenes. The main challenge for stereo ground truth error est...

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...

Catadioptric Omni-Directional Stereo Vision (ODSV) technology is the combination of omni-directional imaging and stereo vision, which has wide application potentials on robot vision and large-scale video surveillance [1-4]. Fig.1 gives the framework of ODSV technology, which includes four major parts: the design of omni-directional stereo vision imaging system, unwarping of omni-directional ste...

We introduce a new method for stereo visual SLAM (simultaneous localization and mapping) that works in unstructured, outdoor environments. Observations use dense stereo vision to measure the variance of the heights in each cell of a 2D grid. Unlike other grid-based SLAM algorithms, which use occupancy grid maps, our algorithm uses a new mapping technique that maintains a posterior distribution ...

Mouse embryo imaging is conventionally carried out on ex vivo embryos excised from the amniotic sac, omitting vital structures and abnormalities external to the body. Here, we present an in amnio MR imaging methodology in which the mouse embryo is retained in the amniotic sac and demonstrate how important embryonic structures can be visualised in 3D with high spatial resolution (100 µm/px). To ...

This paper presents a novel approach to the problem of computing the matching-cost for stereo vision. The approach is based upon a Convolutional Neural Network that is used to compute the similarity of input patches from stereo image pairs. In combination with state-ofthe-art stereo pipeline steps, the method achieves top results in major stereo benchmarks. The paper introduces the problem of s...

In deep learning-based local stereo matching methods, larger image patches usually bring better accuracy. However, it is unrealistic to increase the size of patch without restriction. Arbitrarily extending will change method into global method, and accuracy be saturated. We simplified existing Siamese convolutional network by reducing number parameters propose an efficient CNN based structure, ...