Spherical harmonic decomposition of wavefields is not only an active problem in acoustic signal processing but also a useful tool in a plethora of applications such as 3D beamform...
Spherical harmonics are widely used in 3D image processing due to their compactness and rotation properties. For example, it is quite easy to obtain rotation invariance by taking t...
Henrik Skibbe, Marco Reisert, Olaf Ronneberger, Ha...
The volume, location of the centroid, and second order moments of a threedimensional star-shaped object are determined in terms of the spherical harmonic coefficients of its bound...
Abstract--Voxel-based reconstructions in diffuse optical tomography (DOT) using a quadratic regularization functional tend to produce very smooth images due to the attenuation of h...
Gregory Boverman, Eric L. Miller, Dana H. Brooks, ...
In this paper, we propose two novel methods for face recognition under arbitrary unknown lighting by using spherical harmonics illumination representation, which require only one t...
This paper develops a theory of frequency domain invariants in computer vision. We derive novel identities using spherical harmonics, which are the angular frequency domain analog ...
Spherical harmonic transform plays an important role in research in shape description. Current computation methods involve expensive voxelization, and are prone to numerical error...
Understanding and modifying the effects of arbitrary illumination on human faces in a realistic manner is a challenging problem both for face synthesis and recognition. Recent res...
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...
Given limited or incomplete measurement data on a sphere, a new iterative algorithm is proposed on how to extrapolate signal over the whole sphere. The algorithm is based on a pri...
Wen Zhang, Rodney A. Kennedy, Thushara D. Abhayapa...