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VMV
2001
119views Visualization» more  VMV 2001»
13 years 5 months ago
Improving Feature Tracking by Robust Points of interest Selection
This paper deals with robust point features selection for tracking. The aim is to identify unreliable features since the first frame so to track them in all the sequence. We exten...
Chafik Kermad, Christophe Collewet
ICCV
2009
IEEE
13 years 1 months ago
Robust facial feature tracking using selected multi-resolution linear predictors
This paper proposes a learnt data-driven approach for accurate, real-time tracking of facial features using only intensity information. Constraints such as a-priori shape models o...
Eng-Jon Ong, Yuxuan Lan, Barry Theobald, Richard H...
BMVC
2002
13 years 6 months ago
Saliency of Interest Points under Scale Changes
Interest point detectors are commonly employed to reduce the amount of data to be processed. The ideal interest point detector would robustly select those features which are most ...
Daniela Hall, Bastian Leibe, Bernt Schiele
ICIP
2006
IEEE
14 years 5 months ago
Stereo Tracking and Three-Point/One-Point Algorithms - A Robust Approach in Visual Odometry
In this paper, we present an approach of calculating visual odometry for outdoor robots equipped with a stereo rig. Instead of the typical feature matching or tracking, we use an ...
Kai Ni, Frank Dellaert
ECCV
2006
Springer
14 years 5 months ago
Feature Points Tracking: Robustness to Specular Highlights and Lighting Changes
Since the precise modeling of reflection is a difficult task, most feature points trackers assume that objects are lambertian and that no lighting change occurs. To some extent, a ...
Michèle Gouiffès, Christophe Collewe...