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CVPR
2008
IEEE
16 years 1 months ago
Visual tracking via incremental Log-Euclidean Riemannian subspace learning
Recently, a novel Log-Euclidean Riemannian metric [28] is proposed for statistics on symmetric positive definite (SPD) matrices. Under this metric, distances and Riemannian means ...
Xi Li, Weiming Hu, Zhongfei Zhang, Xiaoqin Zhang, ...
ICCV
2007
IEEE
16 years 1 months ago
Differential EMD Tracking
Illumination changes cause object appearance to change drastically and many existing tracking algorithms lack the capability to handle this problem. The Earth Mover's Distanc...
Qi Zhao, Shane Brennan, Hai Tao
ECCV
2008
Springer
16 years 1 months ago
GeoS: Geodesic Image Segmentation
This paper presents GeoS, a new algorithm for the efficient segmentation of n-dimensional image and video data. The segmentation problem is cast as approximate energy minimization ...
Antonio Criminisi, Toby Sharp, Andrew Blake
ICIP
2007
IEEE
16 years 1 months ago
Large Scale Learning of Active Shape Models
We propose a framework to learn statistical shape models for faces as piecewise linear models. Specifically, our methodology builds upon primitive active shape models(ASM) to hand...
Atul Kanaujia, Dimitris N. Metaxas
ICIP
2005
IEEE
16 years 1 months ago
Multiple feature models for image matching
The common approach to image matching is to detect spatial features present in both images and create a mapping that relates both images. The main drawback of this method takes pl...
Juan Morales-Sánchez, Rafael Verdú, ...