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» The Localization Hypothesis and Machines
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ECCV
2008
Springer
16 years 2 months ago
Relevant Feature Selection for Human Pose Estimation and Localization in Cluttered Images
Abstract. We address the problem of estimating human body pose from a single image with cluttered background. We train multiple local linear regressors for estimating the 3D pose f...
Ryuzo Okada, Stefano Soatto
ICIP
2008
IEEE
16 years 2 months ago
Implicit spatial inference with sparse local features
This paper introduces a novel way to leverage the implicit geometry of sparse local features (e.g. SIFT operator) for the purposes of object detection and segmentation. A two-clas...
Deirdre O'Regan, Anil C. Kokaram
100
Voted
ICIP
2005
IEEE
16 years 2 months ago
Robust facial expression recognition using local binary patterns
A novel low-computation discriminative feature space is introduced for facial expression recognition capable of robust performance over a rang of image resolutions. Our approach i...
Caifeng Shan, Shaogang Gong, Peter W. McOwan
95
Voted
MICCAI
2007
Springer
16 years 1 months ago
False Positive Reduction in Mammographic Mass Detection Using Local Binary Patterns
In this paper we propose a new approach for false positive reduction in the field of mammographic mass detection. The goal is to distinguish between the true recognized masses and ...
Arnau Oliver, Joan Martí, Jordi Freixenet, ...
99
Voted
ISBI
2008
IEEE
16 years 1 months ago
Local quality assessment for optical coherence tomography
Optical Coherence Tomography (OCT) is a non-invasive tool for visualizing the retina. It is increasingly used to diagnose eye diseases such as glaucoma and diabetic maculopathy. H...
Gadi Wollstein, Hiroshi Ishikawa 0002, Joel Schuma...