Geo-Relevance for Images

作者: Boris Epshtein , Eyal Ofek

DOI:

关键词:

摘要: Images may be sorted and categorized by defining a frustum for each image overlaying the frustums in two, three, or four dimensions to create density map identify points of interest. that contain point interest grouped, sorted, determine representative images point. By including many from different sources, common defined. Points defined two three Euclidian dimensions, include dimension time.

参考文章(23)
Andreas Girgensohn, John Adcock, Lynn Wilcox, Jonathan Foote, Matthew L. Cooper, Simplifying the Management of Large Photo Collections. international conference on human-computer interaction. ,(2003)
Karel Zikan, Henry A. Sowizral, Randall G. Keller, Size conditioned visibility search system and method ,(2001)
David Robert Baldwin, Triangle clipping for 3D graphics ,(1998)
Fred Portigal, Rastislav Telgarsky, Spectral geographic information system ,(2005)
Andrew Kevin Barrows, Chad Jennings, Keith Alter, Handheld synthetic vision device ,(2005)
Martin Girard, Generating image data ,(2002)
Yuichi Ishikawa, Mitsuhiro Kasahara, Tomoko Morita, Display device and luminance control method therefor ,(2001)
Peng Chang, Theodore Armand Camus, Stereo-vision based imminent collision detection ,(2004)