Mullard Space Science Laboratory, University College London, Holmbury St. Mary, Dorking, RH5 6NT, UK Space-X, Jaquet-Droz 1, CH-2007 Neuchâtel, Switzerland Institute of Digital Image Processing, Joanneum Research, Wastiangasse 6A8010, Graz, Austria Natural History Museum, Bern, Switzerland Dept. of Physics and Astronomy, University of Leicester, Leicester, UK. Institut für Datentechnik und Komm...

A simple, yet powerful, algorithm for computed tomography of the solar corona is demonstrated using synthetic EUV data. A minimum of three perspectives are required. These may be obtained from STEREO/EUVI plus an instrument near Earth, e.g. TRACE or SOHO/EIT. Subject headings: methods: data analysis — Sun: corona — techniques: image processing

Endoscopic image enhancement has become a very popular research field due to the success of minimally invasive interventions and the innovation of new technological treatment and diagnosis tools such as stereoscopic laparoscopes and the wireless capsule endoscopy. In spite of the important advances achieved in terms of image processing and enhancement, only a few techniques can be adapted to st...

Introduction: The NASA ESMD Lunar Mapping and Modeling Project (LMMP) has been charged with producing cartographic products for use by mission planners and scientists in NASA’s Constellation program. As part of the LMMP, we have produced 70 preliminary Digital Terrain Models (DTMs) and orthoimages derived from Apollo 15 Metric Camera (AMC) orbit 33 imagery using the Ames Stereo Pipeline (ASP); ...

Stereo vision attempts to regain depth information from a pair of 2D images. This information can be used in a wide range of areas including robotics, augmented reality, 3D TV and movie post production. This paper will describe the development of a stereo algorithm on the cell processor. The implementation will be evaluated for both quality and speed, demonstrating the effectiveness of the cell...

Among others, stereo vision analysis deals with the extraction of depth in a scene, using the disparity between the images acquired by a stereo camera setup. The disparity calculation for the whole of an image is mostly a computation demanding procedure, commonly being performed by dedicated hardware. In this paper a hardware architecture for real time extraction of disparity maps is proposed, ...

This paper discusses a method for stereo image coding. We assume stereo images that try to imitate the human visual system, i.e. the two camera planes must be coplanar. First we apply an intensity based stereo algorithm using cooperative bidirectional matching with a hierarchical multilevel structure that returns depth eld and occlusion information. This information can be used to estimate the ...

Current research in stereo image analysis focuses on improving matching algorithms in terms of accuracy, computational costs, and robustness towards real-time applicability for complex image data and 3D scenes. Interestingly, performance testing takes place for a huge number of algorithms, but, typically, on very small sets of image data only. Even worse, there is little reasoning whether data ...

one of the most fundamental features of digital image and the basic steps in image processing, analysis, pattern recognition and computer vision is the edge of an image where the preciseness and reliability of its results will affect directly on the comprehension machine system made objective world. several edge detectors have been developed in the past decades, although no single edge detector...