Human stereo vision works by fusing a pair of perspective images with a purely horizontal parallax. Recent developments suggest that very few varieties of multiperspective stereo pairs exist. In this paper, we introduce a new stereo model, which we call epsilon stereo pairs, for fusing a broader class of multiperspective images. An epsilon stereo pair consists of two images with a slight vertic...

The disparity energy model can interpret a variety of physiological properties of binocular neurons in the early visual cortex quantitatively. Therefore, many physiologically plausible models for binocular stereopsis employed the disparity energy model as a model neuron. These models can explain a variety of psychological findings concerning stereo perception. However, most of the models cannot...

The provision of stereo images to facilitate depth perception by stereopsis is one key aspect of many Virtual Reality installations and there are many technical approaches to do so. However, differences in visual capabilities of the user and technical limitations of a specific set-up might restrict the spatial range in which stereopsis can be facilitated. In this paper, we transfer an existent ...

83 Abstract— Image segmentation is always a challenging task in computer vision as well as in pattern recognition. Nowadays, this method has great importance in the field of stereo vision. The disparity information extracting from the binocular image pairs has essential relevance in the fields like Stereoscopic (3D) Imaging Systems, Virtual Reality and 3D Graphics. The term 'disparity' represen...

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 proposes a System-on-ProgrammableChip (SoPC) architecture to implement a stereo matching algorithm based on the sum of absolute differences (SAD) in a FPGA chip which can provide 1396×1110 disparity maps at 30 fps speed. The hardware implementation involves a 32bit Nios II microprocessor, memory interfaces and stereo matching algorithm circuit module. The stereo matching algorithm co...

Extraction of three-dimensional scene from the stereo images is the most effective research area in the field of computer vision. Stereo vision constructs the actual three-dimensional scene from two stereo images having different viewpoints. Stereo matching is a correspondence problem, that means it ascertains which part of image corresponds to which part of another image ,where variations insi...

In many applications, such as teleconferencing, multimedia workstations, televideo gaming, etc., stereo sound is already, or will soon be, implemented to give spatial realism that mono systems cannot offer. In such hands-free systems, stereophonic acoustic echo cancelers are absolutely necessary for full-duplex communication. In this paper, we propose a new acoustic echo canceler (AEC) based on...