… to recognize increase dramatically and we have explored new descriptors like multiresolution
descriptors based on … By wavelets descriptors we mean all descriptors derived from the …

… multiresolution analysis via wavelet transform and integrate them as additional components
in the entire architecture. Wavelet … Other applications such as image recognition and object …

… In this work, we developped a technique for face recognition using the idea of multiresolution
face recognition. The multiresolution subbands are generated by using discrete wavelet …

… Abstract—This paper extends Lounsbery’s multiresolution analysis wavelet-based theory
for triangular 3D meshes, which can only be applied to regularly subdivided meshes and thus …

… Now, we derive a basic wavelet relative to the continuous scaling function (CSF).[11]
Suppose that φ(x) generates a CMA and there exists some function ψ(x) in L 2 such that the L 2 -…

… Basically speaking, a shell is a multiresolution wavelet decomposition of the original signal
where no down-sampling is performed. That means we get the same number of wavelet …

… use of current developed wavelet transform algorithms for multi-resolution fusion of … wavelet
transform algorithms are for this multi-resolution image fusion. Five different types of wavelet …

… This shortcoming motivated us to use curvelet transform for handwriting character
recognition having better result than wavelet multi-resolution features in the present work. …

… in one pattern recognition descriptor, we find it is very successful in recognizing deformed
… has the properties of shift invariance and multiresolution representation, we perform the 2D …

… In a bid to capture the global and local geometry of 3D shapes, we propose a multiresolution
signature via a cubic spline wavelet generating kernel. The parameters of the proposed …