This paper presents a method for estimating disparity images from a stereo image sequence. While many existing stereo algorithms work well on a single pair of stereo images, it is not sufficient to simply apply them to temporal frames independently without considering the temporal consistency between adjacent frames. Our method integrates the state-of-the-art stereo algorithm with the scene flo...

Stereo vision is a challenging problem and it is a wide research topic in computer vision. It has got a lot of attraction because it is a cost efficient way in place of using costly sensors. Stereo vision has found a great importance in many fields and applications in today’s world. Some of the applications include robotics, 3-D scanning, 3-D reconstruction, driver assistance systems, forensics...

ASTER stereo and ASTER infrared (IR) retrieved cloud top heights (CTHs) at 90 m spatial resolution are compared to operational Multi-Angle Imaging SpectroRadiometer (MISR) stereo and MODerate Resolution Imaging Spectroradiometer (MODIS) thermal IR techniques at 1100 m and 5000 m spatial resolution, respectively. ASTER data availability limits this study to trade wind cumulus clouds only. ASTER ...

The limitations of estimating structure from either stereo or motion alone can be addressed by the use of stereo image sequences; however, many existing techniques for processing stereo sequences rely on having accurate feature correspondences initially. In this paper, we present an iterative feature matching and shape reconstruction algorithm. The proposed method simultaneously resolves matchi...

Tracing of corresponding phenomena (matching) is necessary in many applications, like image sequence analysis, aerotriangulation and 3-D geometric information extraction from stereo pairs of images. An important industrial application is robot stereo vision. In digital images the correspondence problem can be approached by signal, feature or relational matching. Common, at the moment, is the si...

This paper discusses several interesting configurations of omnidirectional stereo (omnistereo) binocular omnistereo, N-ocular omnistereo, circular projection omnistereo and dynamic omni-stereo. An omnidirectional image can be either obtained by an omnidirectional camera or generated by image mosaicing. Usually an omnidirectional image has a 360-degree view around a viewpoint, and in its most co...

Many stereo correspondence algorithms require relative camera geometry, as the epipolar constraint is fundamental to their matching processes. We intend to build a eye/head camera rig to mount on the mobile platform COMODE to enhance the abilities of the TINA system to recover 3D geometry from its environment. Thus we will need to be able to associate camera geometry with particular head config...

Estimating its ego-motion is one of the most important capabilities for an autonomous mobile platform. Without reliable ego-motion estimation no long-term navigation is possible. Besides odometry, inertial sensors, DGPS, laser range finders and so on, vision based algorithms can contribute a lot of information. In this paper, we want to give an integrated overview of stereo odometry. We want to...