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» Model Based Pose Estimator Using Linear-Programming
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IPMI
2005
Springer
16 years 5 days ago
Linearization of Mammograms Using Parameters Derived from Noise Characteristics
A method is proposed for converting digitized mammograms to a normalized representation, in which pixel values are linearly related to the logarithm of x-ray exposure. This method ...
Nico Karssemeijer, Peter R. Snoeren, Wei Zhang
CVPR
2006
IEEE
16 years 8 months ago
Training Deformable Models for Localization
We present a new method for training deformable models. Assume that we have training images where part locations have been labeled. Typically, one fits a model by maximizing the l...
Deva Ramanan, Cristian Sminchisescu
ICCV
1995
IEEE
15 years 10 months ago
Recognition Using Region Correspondences
Recognition systems attempt to recover information about the identity of observed objects and their location in the environment. A fundamental problem in recognition is pose estima...
Ronen Basri, David W. Jacobs
CVPR
2008
IEEE
16 years 8 months ago
Automatic registration of aerial imagery with untextured 3D LiDAR models
A fast 3D model reconstruction methodology is desirable in many applications such as urban planning, training, and simulations. In this paper, we develop an automated algorithm fo...
Min Ding, Kristian Lyngbaek, Avideh Zakhor
ACCV
2006
Springer
15 years 10 months ago
Motion Detection in Driving Environment Using U-V-Disparity
Abstract. Motion detection in driving environment, which aims to detect REAL moving objects from continuously changing background, is vital for Adaptive Cruise Control (ACC) applic...
Jia Wang, Zhencheng Hu, Hanqing Lu, Keiichi Uchimu...