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» Learning Features by Contrasting Natural Images with Noise
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IBPRIA
2009
Springer
14 years 13 days ago
Local Boosted Features for Pedestrian Detection
The present paper addresses pedestrian detection using local boosted features that are learned from a small set of training images. Our contribution is to use two boosting steps. T...
Michael Villamizar, Alberto Sanfeliu, Juan Andrade...
IBPRIA
2007
Springer
14 years 2 months ago
Tracking the Left Ventricle in Ultrasound Images Based on Total Variation Denoising
Abstract. Tracking the Left Ventricle (LV) in ultrasound sequences remains a challenge due to speckle noise, low SNR and lack of contrast. Therefore, it is usually difficult to obt...
Jacinto C. Nascimento, João M. Sanches, Jor...
SAC
2002
ACM
13 years 7 months ago
Color patterns for pictorial content description
In this paper, we propose a new type of image feature, which consists of patterns of colors and intensities that capture the latent associations among images and primitive feature...
Daniela Stan, Ishwar K. Sethi
EMMCVPR
2005
Springer
14 years 1 months ago
Segmentation Informed by Manifold Learning
In many biomedical imaging applications, video sequences are captured with low resolution and low contrast challenging conditions in which to detect, segment, or track features. Wh...
Qilong Zhang, Richard Souvenir, Robert Pless
TIP
2010
113views more  TIP 2010»
13 years 2 months ago
Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization
Multiplicative noise (also known as speckle noise) models are central to the study of coherent imaging systems, such as synthetic aperture radar and sonar, and ultrasound and laser...
José M. Bioucas-Dias, Mário A. T. Fi...