This paper is concerned with the problem of surface reconstruction from stereo images for large scenes having large depth ranges, where it is necessary to aim cameras in different directions and to fixate at different objects. This paper presents an approach to acquiring coarse structural information about the scene in the vicinity of the next fixation point during the current fixation, and uti...

The measurement systems of the movement of an eye direction are important in ophthalmology. In this paper, an eye direction algorithm for eye tracking is introduced by image processing in stereo cameras. We assume that iris images are observed by cameras. Our method uses the fact that the location of the corneal reflection on an iris region changes as the eye direction varies. The eye direction...

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 ...

Active vision systems can be used in robotic systems for navigation. The active vision system provides data on the robot’s environment. In mobile systems the position and attitude of the cameras relative to the world can be hard to determine. Inertial sensors coupled to the active vision system can provide valuable information to aid the image processing task. In human and other animals the ves...

The omnidirectional vision system has been given increasing attentions in recent years in many engineering research areas such as computer vision and mobile robot since it has wide field of view (FOV). A general method for 360o omnidirectional image acquisition is the catadioptric approach using a coaxially aligned convex mirror and a conventional camera. The catadioptric approach with the conv...

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...

OF THESIS 3D RECONSTRUCTION FROM STEREO/RANGE IMAGES. 3D reconstruction from stereo/range image is one of the most fundamental and extensively researched topics in computer vision. Stereo research has recently experienced somewhat of a new era, as a result of publically available performance testing such as the Middlebury data set, which has allowed researchers to compare their algorithms again...

This paper presents a method for the detection of objects that move independently of the observer in a 3D dynamic scene. Independent motion detection is achieved through processing of stereoscopic image sequences acquired by a binocular, rigidly moving observer. A weak assumption is made about the observer's motion (egomotion), namely that the direction of the translational and rotational compo...