Many psychophysical and physiological experiments indicate that visual motion analysis and stereoscopic depth perception are processed together in the brain. However, little computational effort has been devoted to combining these two visual modalities into a common framework based on physiological mechanisms. We present such an integrated model in this paper. We have previously developed a phy...

This paper presents an area-based stereo algorithm suitable to real time applications. The core of the algorithm relies on the uniqueness constraint and on a matching process that allows for rejecting previous matches as soon as more reliable ones are found. The proposed approach is compared with the left-right consistency constraint, being the latter the basic method for detecting unreliable m...

We address the problem of multiple view stereo from a perceptual organization perspective. Currently, the leading methods in the field are volumetric. They operate at the level of scene voxels and image pixels, without considering the structures depicted in them. On the other hand, many perceptual organization methods for binocular stereo are not extensible to more images. We present an approac...

For the autonomous movement of a robotic system, in real time, it has to perceive its environment, to calculate the position of a target or of a block and to move properly. For this reason, many types of sensors and apparatus have been proposed. The target state is required to be accurately calculated and a desired task or procedure to be safely and successfully integrated. In cases of limited ...

Many psychophysical and physiological experiments indicate that visual motion analysis and stereoscopic depth perception are processed together in the brain. However, little computational e ort has been devoted to combining these two visual modalities into a common framework based on physiological mechanisms. We present such an integrated model in this paper. We have previously developed a phys...

This paper presents a new real-time stereo correspondence method based on combined similarity measurement and guided filter. Many stereo correspondence methods use color intensity value as pixel similarity measurement, color intensity value is sensitive to noise, exposure, light and etc, so error correspondence rates of these methods are high. Gradient value is more robust to these factors than...

This paper proposes a three-dimensional (3D) face recognition system using passive stereo vision. So far, the reported 3D face recognition techniques have used active 3D measurement methods to capture high-quality 3D facial information. However, active methods employ structured illumination (structure projection, phase shift, moire topography, etc.) or laser scanning, which is not desirable in ...

The emergence of affordable depth cameras has enabled significant advances in human segmentation and pose estimation in recent years. While it leads to impressive results in many tasks, the use of infrared cameras have their drawbacks, in particular the fact that they don’t work in direct sunlight. One alternative is to use a stereo pair of cameras to produce a disparity space image. In this wo...

There have been many progresses in the stereo matching problem. However, some remaining problems still make stereo matching difficult. Occlusion is one of such problems. In this paper, we propose a new stereo matching model that addresses this problem by using an effective visibility constraint. By considering two images simultaneously, complex geometric configurations regarding the visibility ...

This article presents an investigation study of stereo-based 3D surface reconstruction algorithms by providing an overview of the diierent approaches that have been investigated in the stereo literature during the last decade. This study considers only the two-views plain stereo algorithms and provides another classiication for the stereo approaches based on the features used in the stereo lite...