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» Sparse Image Reconstruction using Sparse Priors
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120
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ICCV
2001
IEEE
16 years 5 months ago
Deriving Intrinsic Images from Image Sequences
Intrinsic images are a useful midlevel description of scenes proposed by Barrow and Tenenbaum [1]. An image is decomposed into two images: a reflectance image and an illumination ...
Yair Weiss
164
Voted
ICCV
2011
IEEE
14 years 3 months ago
A Linear Subspace Learning Approach via Sparse Coding
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
Lei Zhang, Pengfei Zhu, Qinghu Hu, David Zhang
PAMI
2006
145views more  PAMI 2006»
15 years 3 months ago
Reflectance Sharing: Predicting Appearance from a Sparse Set of Images of a Known Shape
Three-dimensional appearance models consisting of spatially varying reflectance functions defined on a known shape can be used in analysis-by-synthesis approaches to a number of vi...
Todd Zickler, Ravi Ramamoorthi, Sebastian Enrique,...
TSP
2010
14 years 10 months ago
Closed-form MMSE estimation for signal denoising under sparse representation modeling over a unitary dictionary
This paper deals with the Bayesian signal denoising problem, assuming a prior based on a sparse representation modeling over a unitary dictionary. It is well known that the maximum...
Matan Protter, Irad Yavneh, Michael Elad
137
Voted
ICANN
2003
Springer
15 years 9 months ago
Sparse Coding with Invariance Constraints
We suggest a new approach to optimize the learning of sparse features under the constraints of explicit transformation symmetries imposed on the set of feature vectors. Given a set...
Heiko Wersing, Julian Eggert, Edgar Körner