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ICIP
1999
IEEE
16 years 2 months ago
Perceptual Grouping of 3-D Features in Aerial Image Using Decision Tree Classifier
We address a new perceptual grouping algorithmfor aerial images, which employs a decision tree classifier and hierarchical multilevel grouping strategy an a bottom-up fashion. In ...
In Kyu Park, Kyoung Mu Lee, Sang Uk Lee
99
Voted
ICIP
2010
IEEE
14 years 10 months ago
Passive imaging exploiting multiple scattering using distributed apertures
We develop a new passive image formation method capable of exploiting information about multiple scattering in the environment using measurements from a sparse array of receivers ...
Ling Wang, Il-Young Son, Birsen Yazici
95
Voted
ICIP
2003
IEEE
15 years 6 months ago
Detection and counting of cars in aerial images
This paper introduces a new approach to automatic car detection in monocular large scale aerial images. The extraction is based on a hierarchical 3D-model that describes the promi...
S. Hinz
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
16 years 8 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
MICCAI
2005
Springer
16 years 1 months ago
Tissue Classification of Noisy MR Brain Images Using Constrained GMM
We present an automated algorithm for tissue segmentation of noisy, low contrast magnetic resonance (MR) images of the brain. We use a mixture model composed of a large number of G...
Amit Ruf, Hayit Greenspan, Jacob Goldberger