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» On the design of robust classifiers for computer vision
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CVPR
2001
IEEE
16 years 18 days ago
A New 3-D Pattern Recognition Technique With Application to Computer Aided Colonoscopy
To utilize CT or MRI images for computer aided diagnosis applications, robust features that represent 3-D image data need to be constructed and subsequently used by a classificati...
Salih Burak Göktürk, Carlo Tomasi
CVPR
2005
IEEE
16 years 18 days ago
Online Detection and Classification of Moving Objects Using Progressively Improving Detectors
Boosting based detection methods have successfully been used for robust detection of faces and pedestrians. However, a very large amount of labeled examples are required for train...
Omar Javed, Saad Ali, Mubarak Shah
CVPR
2008
IEEE
16 years 18 days ago
Accurate multi-view reconstruction using robust binocular stereo and surface meshing
This paper presents a new algorithm for multi-view reconstruction that demonstrates both accuracy and efficiency. Our method is based on robust binocular stereo matching, followed...
Derek Bradley, Tamy Boubekeur, Wolfgang Heidrich
BMVC
2000
14 years 12 months ago
Robust Facial Feature Tracking
We present a robust technique for tracking a set of pre-determined points on a human face. To achieve robustness, the Kanade-Lucas-Tomasi point tracker is extended and specialised...
Fabrice Bourel, Claude C. Chibelushi, Adrian A. Lo...
ICPR
2004
IEEE
15 years 11 months ago
Perceptual Distance Normalization for Appearance Detection
In this paper we develop a novel contrast-invariant appearance detection model. The goal is to classify object-specific images (e.g. face images) from generic background patches. ...
Allan D. Jepson, Chakra Chennubhotla