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CVPR
2006
IEEE
16 years 8 months ago
Learning Object Shape: From Drawings to Images
We consider the important challenge of recognizing a variety of deformable object classes in images. Of fundamental importance and particular difficulty in this setting is the pro...
Gal Elidan, Geremy Heitz, Daphne Koller
ICCV
2005
IEEE
16 years 8 months ago
Geometric Context from a Single Image
Many computer vision algorithms limit their performance by ignoring the underlying 3D geometric structure in the image. We show that we can estimate the coarse geometric propertie...
Derek Hoiem, Alexei A. Efros, Martial Hebert
ICIP
2004
IEEE
16 years 8 months ago
Motion estimation in high resolution image reconstruction from compressed video sequences
In order to obtain a high resolution image from a compressed video sequence it is essential to correctly estimate the motion vectors in the sequence. Most of the approaches report...
Luis D. Alvarez, Rafael Molina, Aggelos K. Katsagg...
ICIP
2001
IEEE
16 years 8 months ago
Face detection from cluttered images using a polynomial neural network
In this paper, we propose a new method for face detection from cluttered images. We use a polynomial neural network (PNN) for separation of face and non-face patterns while the co...
Lin-Lin Huang, Akinobu Shimizu, Yoshihiro Hagihara...
ICIP
2009
IEEE
16 years 7 months ago
From Hemorrhage To Midline Shift: A New Method Of Tracing The Deformed Midline In Traumatic Brain Injury Ct Images
In intracranial pathological examinations using CT scan, brain midline shift (MLS) is an important diagnostic feature indicating the pathological severity and patient's survi...