نتایج جستجو برای: from each image he brings into imagery
تعداد نتایج: 6984866 فیلتر نتایج به سال:
today the image of a permanent skeletal space of cities affected by some forces or mechanisms is put in time with social-economic development and while imposes a new face and perspective to physical anatomy of cities, and prepares field to changes in content and social- economic structures of cities too. simultaneously with quitting villages in order to settle in cities by villagers, the phen...
A system has been developed to acquire, extend and re ne 3D geometric site models from aerial imagery. The system hypothesizes potential building roofs in an image, automatically locates supporting geometric evidence in other images, and determines the precise shape and position of the new buildings via multi-image triangulation. Projectively warped image intensity maps are associated with the ...
different researchers in different parts of the world have investigated the strategies used to translate written works ranging from novels to classroom assignments. however, by the significant increase in the number of postgraduate students in iran in the last few years, a very common kind of translation in iran includes translating abstracts of master’s theses. in this work, the researcher hav...
Taking the Quickbird optical satellite imagery of the small watershed of Beiyanzigou valley of Qixia city, Shandong province, as the study data, we proposed a new method by using a fused image of topography with remote sensing imagery (RSI) to achieve a high precision interpretation of gully edge lines. The technique first transformed remote sensing imagery into HSV color space from RGB color s...
Abstract Stephen M. Kosslyn is Professor of Psychology at Harvard University and an Associate Psychologist in the Department of Neurology at the Massachusetts General Hospital. He received his B.A. in 1970 from UCLA and his Ph.D. from Stanford University in 1974, both in psychology, and taught at Johns Hopkins, Harvard, and Brandeis Universities before joining the Harvard Faculty as Professor o...
he long-term goal of the research effort discussed in this article is to determine the feasibility of obtaining quantitative information about the near-surface wind field and perhaps other parameters that characterize the marine atmospheric boundary layer from an analysis of synthetic aperture radar (SAR) imagery. Because of its potential for yielding such information at high spatial resolution...
This paper proposes a new approach to image matching by epipolar constraint and local reliability constraint for Remote Sensing Image. We define a new measure of matching support according to the local reliability constraint. A new search strategy—modified greedy algorithm is developed for robust image matching. This strategy only selects those matches having both high matching support and low ...
Abstract The effectiveness of different educational methods in learning different types of motor skills has been considered. However, comparisons of these methods in regulated team sports games have been less studied. Therefore, the aim of the present study was to compare the three educational methods of imagery, observation, and execution of in-field pattern on the performance of regulated ga...
Recent work in computer vision has demonstrated the potential to automatically recover camera and scene geometry from large collections of uncooperatively-collected photos. At the same time, aerial ladar and Geographic Information System (GIS) data are becoming more readily accessible. In this paper, we present a system for fusing these data sources in order to transfer 3D and GIS information i...
He has published over 70 papers in journals and international conferences on photo-realistic graphics. He is currently vice chair of ACM SIG-GRAPH. His research is investigating the use of photo-realistic graphics in the visu-alisation of archaeological site reconstructions and techniques which may be used to reduced computation times without affecting the perceptual quality of the images. Scot...
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