This paper proposes a discrete wavelet-based stereo matching technique. A discrete wavelet transform is first applied to a pair of stereo images to decorrelate the images into a number of approximations. Information in the basebands is less sensitive to shift variability of the wavelet transform. A self-adapting dissimilarity measure is employed to generate a disparity map of the stereo pairs. ...

This paper proposes a discrete wavelet-based stereo matching technique. A discrete wavelet transform is first applied to a pair of stereo images to decorrelate the images into a number of approximations. Information in the basebands is less sensitive to shift variability of the wavelet transform. A self-adapting dissimilarity measure is employed to generate a disparity map of the stereo pairs. ...

Conventional cameras with a limited field of view often lose sight of objects when their bearings change suddenly due to a significant turn of the observer (robot), the object, or both. Catadioptric omnidirectional sensors, consisting of a camera and a mirror, can track objects and estimate their distances more robustly. The shapes of mirrors used by such sensors have differing merits. This pap...

Image-based tracking of objects is becoming an important area of research within computer vision and image processing community. However, there are still challenges with regard to robustness of the algorithms. This paper explains an algorithm to track the pre-defined objects within stereo videos (image sequences) in a condition where cameras are fixed and objects are moving. The tracking techni...

This paper proposes a discrete wavelet-based stereo matching technique. A discrete wavelet transform is first applied to a pair of stereo images to decorrelate the images into a number of approximations. Information in the basebands is less sensitive to shift variability of the wavelet transform. A self-adapting dissimilarity measure is employed to generate a disparity map of the stereo pairs. ...

The article presents a general concept of the organization of pseudo 3D visualization of graphics and video content for 3D visualization systems. The steps of algorithms for solving the problem of synthesis of 3D stereo images based on 2D images are introduced. The features of synthesis organization of standard format of 3D stereo frame are presented. Moreover, the performed experimental simula...

This paper proposes a discrete wavelet-based stereo matching technique. A discrete wavelet transform is first applied to a pair of stereo images to decorrelate the images into a number of approximations. Information in the basebands is less sensitive to shift variability of the wavelet transform. A selfadapting dissimilarity measure is employed to generate a disparity map of the stereo pairs. R...

A new method for computing precise depth map estimates of 3D shape of a moving object is proposed. 3D shape recovery in motion stereo is formulated as a matching optimization problem of multiple stereo images. The proposed method is a heuristic modification of dynamic programming applied to two-dimensional optimization problem. 3D shape recovery using real motion stereo images demonstrates a go...

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 ...