Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
New approximations of differential entropy for independent component analysis and projection pursuit
NIPS '97 Proceedings of the 1997 conference on Advances in neural information processing systems 10
Affine invariants for object recognition using the wavelet transform
Pattern Recognition Letters
One-Bit-Matching Conjecture for Independent Component Analysis
Neural Computation
Blind source separation-semiparametric statistical approach
IEEE Transactions on Signal Processing
Affine-invariant B-spline moments for curve matching
IEEE Transactions on Image Processing
Fast and robust fixed-point algorithms for independent component analysis
IEEE Transactions on Neural Networks
Expert Systems with Applications: An International Journal
Invariant 2D object recognition using KRA and GRA
Expert Systems with Applications: An International Journal
Robust affine invariant shape image retrieval using the ICA Zernike moment shape descriptor
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
A subspace approach for matching 2D shapes under affine distortions
Pattern Recognition
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This paper proposes a new scheme based on independent component analysis (ICA) for object recognition with affine transformation and for affine motion estimation between video frames. For different affine shapes of a recognized object, an invariant descriptor can be extracted by ICA, and it can solve some object recognition problems. This method also can be used to estimate the affine motion between two frames, which is important in high compression rate coding such as MPEG4 or MPEG7 standard. Simulation results show that the proposed method has a better performance than other traditional methods in pattern recognition and affine motion estimation.