In this paper, we present a stereo-based face tracking system which can track the 3D position and orientation of a user in real-time, and the system’s application for interaction with a large display. Our tracking system incorporates dynamic update of template images for tracking facial features so that the system can successfully track a user's face for a large angle of rotation. Another advan...

This work presents a fisheye lens based omnidirectional stereo sensor. The sensor is installed on the top of the vehicle such that it can observe the entire area around it. The vehicles we use in the experiments are automated forklifts. We propose a multi-channel rectification to divide the original fisheye images into three pairs of rectified perspective images. The complexity of the fisheye s...

Higher spatial resolution imaging data is always desirable to the international community of planetary scientists interested in improving understanding of surface formation processes. We have previously developed a novel Super-resolution restoration (SRR) technique (Tao & Muller, 2016) using Gotcha sub-pixel matching, orthorectification, and segmented 4th order PDE-TV, called GPT SRR, which is ...

by far, many stereo-matching techniques have been successfully proposed and applied in digital aerial photogrammetry. however, due to some problems such as large parallaxes, occlusions, geometric deformations, and repetitive patterns in convergent close range images, these methods may not be applicable to the same level of success as that of aerial imagery. in order to overcome these shortcomin...

In this paper, we propose an adaptive stereo matching algorithm to encompassing stereo matching problems in projective distortion region. Since the projective distortion region can not be estimated in terms of fixed-size block matching algorithm, we tried to use adaptive window warping method in hierarchical matching process to compensate the perspective distortions. In addition, probability th...

Inferring the complete 3D shape of an object from RGB image has shown impressive results, however, existing methods rely primarily on recognizing most similar model training set to solve problem. These suffer poor generalization and may lead low-quality reconstructions for unseen objects. Nowadays, stereo cameras are pervasive in emerging devices such as dual-lens smartphones robots, which enab...

It has been previously shown how mirrors can be used to capture stereo images with a single camera, an approach termed catadioptric stereo. In this paper, we present novel catadioptric sensors that use mirrors to produce rectified stereo images. The scanline correspondence of these images benefits real-time stereo by avoiding the computational cost and image degradation due to resampling when r...