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ICASSP
2011
IEEE
12 years 11 months ago
Rotation invariant feature extraction from 3-D acceleration signals
In this paper, we propose a method to extract features from three-dimensional acceleration signals. The proposed method is based on the (auto-)correlation matrix of Fourier transf...
Takumi Kobayashi, Kôiti Hasida, Nobuyuki Ots...
IVC
2007
191views more  IVC 2007»
13 years 7 months ago
Rotation-invariant and scale-invariant Gabor features for texture image retrieval
Conventional Gabor representation and its extracted features often yield a fairly poor performance in retrieving the rotated and scaled versions of the texture image under query. ...
Ju Han, Kai-Kuang Ma
ICASSP
2008
IEEE
14 years 2 months ago
Action recognition using spatio-temporal regularity based features
In this paper, a novel feature for capturing information in a spatio-temporal volume based on regularity flow is presented for action recognition. The regularity flow describes ...
Taylor Goodhart, Pingkun Yan, Mubarak Shah
CVPR
2008
IEEE
14 years 9 months ago
Learning human actions via information maximization
In this paper, we present a novel approach for automatically learning a compact and yet discriminative appearance-based human action model. A video sequence is represented by a ba...
Jingen Liu, Mubarak Shah
DAGM
2006
Springer
13 years 11 months ago
Using Irreducible Group Representations for Invariant 3D Shape Description
Invariant feature representations for 3D objects are one of the basic needs in 3D object retrieval and classification. One tool to obtain rotation invariance are Spherical Harmonic...
Marco Reisert, Hans Burkhardt