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» Algorithmic Fusion for More Robust Feature Tracking
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IPCV
2008
14 years 11 months ago
Feature Point Detection for Real Time Applications
This paper presents a new feature point detector that is accurate, efficient and fast. A detailed qualitative evaluation of the proposed feature point detector for grayscale images...
Neeta Nain, Vijay Laxmi, Bhavitavya Bhadviya, Amey...
FGR
2008
IEEE
301views Biometrics» more  FGR 2008»
15 years 4 months ago
3D facial geometry recovery via group-wise optical flow
We describe an algorithm for automatically finding correspondences from face video sequences. This method is useful to many applications such as face tracking, face modeling and ...
Hui Fang, Nicholas Costen, David Cristinacce, John...
CVPR
2012
IEEE
13 years 6 days ago
Visual tracking via adaptive structural local sparse appearance model
Sparse representation has been applied to visual tracking by finding the best candidate with minimal reconstruction error using target templates. However most sparse representati...
Xu Jia, Huchuan Lu, Ming-Hsuan Yang
IBPRIA
2003
Springer
15 years 3 months ago
A Colour Tracking Procedure for Low-Cost Face Desktop Applications
In this paper we present an environment for the tracking of a human face obtained from a real video sequence. We will describe the system and discuss the advantages and disadvanta...
Francisco J. Perales López, Ramon Mas, Miqu...
CVPR
2007
IEEE
15 years 11 months ago
Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models
Appearance Models (AM) are commonly used to model appearance and shape variation of objects in images. In particular, they have proven useful to detection, tracking, and synthesis...
Fernando De la Torre, Alvaro Collet, Manuel Quero,...