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» Some identification techniques in computer vision
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ECCV
2008
Springer
13 years 9 months ago
Unsupervised Classification and Part Localization by Consistency Amplification
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...
Leonid Karlinsky, Michael Dinerstein, Dan Levi, Sh...
CGF
2008
152views more  CGF 2008»
13 years 7 months ago
Capturing Intention-based Full-Frame Video Stabilization
Annoying shaky motion is one of the significant problems in home videos, since hand shake is an unavoidable effect when capturing by using a hand-held camcorder. Video stabilizati...
Bing-Yu Chen, Ken-Yi Lee, Wei-Ting Huang, Jong-Sha...
MVA
2010
206views Computer Vision» more  MVA 2010»
13 years 2 months ago
Estimating the motion of plant root cells from in vivo confocal laser scanning microscopy images
Images of cellular structures in growing plant roots acquired using confocal laser scanning microscopy (CLSM) have some unusual properties that make motion estimation challenging....
Timothy J. Roberts, Stephen J. McKenna, Cheng-Jin ...
ICCV
2011
IEEE
12 years 7 months ago
Recursive MDL via Graph Cuts: Application to Segmentation
We propose a novel patch-based image representation that is useful because it (1) inherently detects regions with repetitive structure at multiple scales and (2) yields a paramete...
Lena Gorelick, Andrew Delong, Olga Veksler, Yuri B...
CVPR
2012
IEEE
11 years 10 months ago
Classifying covert photographs
The advances in image acquisition techniques make recording images never easier and brings a great convenience to our daily life. It raises at the same time the issue of privacy p...
Haitao Lang, Haibin Ling