USC Iris Computer Vision Lab – USC Institute of Robotics and Intelligent Systems
Lab Introduction IRIS computer vision lab is a unit of USC’s School of Engineering. It was founded in 1986 and has been a major center of government- and industry-sponsored research in computer vision and machine learning. The lab has been active in a number of research topics including object detection and recognition, face identification, 3-D modeling from a sequence of images, activity recognit
FrontPage - PukiWikiBayesFun ベイズウィキ
重要なお知らせ：ベイズウィキのURLが変わります． † サーバーを京都大学に移動することにより ベイズウィキのURLが変わります． 新URLは，http://hawaii.sys.i.kyoto-u.ac.jp/~oba/bayeswiki/index.php で， すでに過去のデータをそのまま移して稼働中です． 以後の閲覧・書き込みは新サイトでおねがいします． ここ，旧サイトはしばらくしたら削除します． ↑ お知らせ † スパム対策に設置した併設会議場のほうのスパムがひどくなってきたので、 スパム対策を強化した本家pukiwiki のほうをメインとするべく整備中です。 2007/05/18 コメントスパム対策のために、合言葉を設定しました。 コメントを書き込むときには お名前欄に自分のハンドル名とともに bayes と半角英字で書き込む ようにして下さい。 2007/05/09 投
LSU
Super-Resolution GUI in Matlab This is a super-resolution image reconstruction toolbox developed in Matlab. It includes geometric and photometric registration modules, a restoration module with several super-resolution techniques, and a panorama creation module. The software can be downloaded from here. The user manual is here. Please send us [bahadir@ece.lsu.edu] an email (that includes yo
Video Epitomes. V. Cheung, B. J. Frey, and N. Jojic. In CVPR 2005.
The videos on this page are in QuickTime format. Windows and Mac users can download QuickTime here. One option for *NIX users is VideoLAN - a great video player that plays almost anything (and runs on almost anything, including Windows and Mac’s). An optical zoom in modern cameras allows the user to trade the field of view for the level of captured detail. The user often desires to capture both
Super-resolution imaging - Wikipedia
Super-resolution imaging (SR) is a class of techniques that enhance (increase) the resolution of an imaging system. In optical SR the diffraction limit of systems is transcended, while in geometrical SR the resolution of digital imaging sensors is enhanced. In some radar and sonar imaging applications (e.g. magnetic resonance imaging (MRI), high-resolution computed tomography), subspace decomposit
Michael Elad | Home pageI got the Weizmann Award for my contributions in Sparse Modeling |
Michael Elad holds a B.Sc. (1986), M.Sc. (1988) and D.Sc. (1997) in Electrical Engineering from the Technion, Israel Institute of Technology. After several years of industrial research, Michael served as a research associate at Stanford University during the years 2001-2003. Since 2003 he holds a permanent faculty position in the Computer-Science department at the Technion. Prof. Elad also holds a
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Richardson–Lucy deconvolution - Wikipedia