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» Boosting Object Detection Using Feature Selection
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ICCV
1999
IEEE
16 years 6 months ago
Learning-based Object Detection in Cardiac MR Images
An automated method for left ventricle detection in MR cardiac images is presented. Ventricle detection is the rst step in a fully automated segmentation system used to compute vo...
Nicolae Duta, Anil K. Jain, Marie-Pierre Dubuisson...
CVPR
2009
IEEE
16 years 12 months ago
Granularity-tunable Gradients Partition (GGP) Descriptors for Human Detection
This paper proposes a novel descriptor, granularitytunable gradients partition (GGP), for human detection. The concept granularity is used to define the spatial and angular unce...
Yazhou Liu (Harbin Institute of Technology), Shigu...
149
Voted
3DPVT
2006
IEEE
187views Visualization» more  3DPVT 2006»
15 years 8 months ago
Linking Feature Lines on 3D Triangle Meshes with Artificial Potential Fields
We propose artificial potential fields as a support theory for a feature linking algorithm. This algorithm operates on 3D triangle meshes derived from multiple range scans of an o...
David L. Page, Andreas Koschan, Mongi A. Abidi
BSN
2009
IEEE
116views Sensor Networks» more  BSN 2009»
15 years 11 months ago
Detecting Walking Gait Impairment with an Ear-worn Sensor
— This paper investigates an ear worn sensor for the development of a gait analysis framework. Instead of explicitly defining gait features that indicate injury or impairment, an...
Louis Atallah, Omer Aziz, Benny P. L. Lo, Guang-Zh...
IPMI
2001
Springer
16 years 5 months ago
Feature Enhancement in Low Quality Images with Application to Echocardiography
In this paper we propose a novel approach to feature enhancement to enhance the quality of noisy images. Our approach is based on a phase-based feature detection algorithm, followe...
Djamal Boukerroui, J. Alison Noble, Michael Brady