A. Shashua and A. Levin. "Linear Image Coding for Regression and Classification using the Tensor-rank Principle." IEEE Conf. on Computer Vision and Pattern Recognition, 2001. Home/Search Document Details and Download
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Multilinear Analysis of Image Ensembles: TensorFaces - Vasilescu, Terzopoulos (2002) (9 citations) (Correct)
....analysis was extended to vector entries by Marimont and Wandel [9] in the context of characterizing color surface and illuminant spectra. Freeman and Tenenbaum [4,14] applied this extension in three different perceptual domains, including face recognition. As was pointed out by Shashua and Levin [12], the natural representation of a collection of images is a three dimensional array, or 3rd order tensor, rather than a simple matrix of vectorized images. They develop compression algorithms for collections of images, such as video images, that take advantage of spatial (horizontal vertical) ....
A. Shashua and A. Levin. Linear image coding for regression and classification using the tensor-rank principle. In Proceedings of the IEEE Conference on ComputerVision and Pattern Recognition, page in press, Hawai, 2001.
Characterization of Human Faces under Illumination.. - Zhou, Chellappa, Jacobs (2004) (Correct)
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A. Shashua and A. Levin. "Linear Image Coding for Regression and Classification using the Tensor-rank Principle." IEEE Conf. on Computer Vision and Pattern Recognition, 2001.
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