A digital photogrammetric system, STEREO, was developed to determine three dimensional coordinates of points of interest (POIs) defined with a grid on a textureless and smooth-surfaced specimen. Two CCD cameras were set up with unknown orientation and recorded digital images of a reference model and a specimen. Points on the model were selected as control or check points for calibrating or asse...

High resolution space-borne remote sensing image data show a high level of detail and provide many opportunities to be integrated into remote sensing applications. In particular, surface mapping from multi-view and stereo data sets becomes feasible with height accuracy in the meter range. Cartosat-1 and Cartosat-2 are the two Indian satellites which provide the high resolution images. Cartosat-...

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...

In this report we demonstrate and characterise a 3D wireframe model matcher, applied to a stereo object location problem typical of many industrial machine vision applications, and relate its design to the methodology we proposed as an earlier component of this project [41]. We begin by outlining the stereo requirements of a 3D model matcher, and in this context discuss the general characterist...

In this paper, we exploit two characteristics of stereoscopic vision: the pop-out effect and the comfort zone. We propose a visual saliency prediction model for stereoscopic images based on stereo contrast and stereo focus models. The stereo contrast model measures stereo saliency based on the color/depth contrast and the pop-out effect. The stereo focus model describes the degree of focus base...

Time-lapse stereo – using natural illumination changes in stereo reconstruction for large scale outdoor scene is yet an unexplored application of spacetime stereo framework. In this project, we collect several time-lapse stereo data sets for further research use and also evaluate the performance of time-lapse stereo by comparing the quality of its disparity images to the ones using classic ster...

Nowadays a major research issue of mobile robots is to develop a robust 3D environment sensing for navigation and task execution. To achieve this, a variety of techniques have been developed for the determination of the 3D scene geometric information such as stereo vision, laser structured light, laser range finder and so on. But these methods have many limitations. To overcome these limitation...

Information fusion algorithms have been successful in many vision tasks such as stereo, motion estimation, registration and robot localization. Stereo and motion image analysis are intimately connected and can provide complementary information to obtain robust estimates of scene structure and motion. We present an information fusion based approach for multi-camera and multi-body structure and m...