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» Image Analysis Through Local Information Measures
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ICIP
2009
IEEE
14 years 7 months ago
Informative sensing of natural images
The theory of compressed sensing tells a dramatic story that sparse signals can be reconstructed near-perfectly from a small number of random measurements. However, recent work ha...
Hyun Sung Chang, Yair Weiss, William T. Freeman
ISBI
2006
IEEE
15 years 3 months ago
Shape analysis using the Fisher-Rao Riemannian metric: unifying shape representation and deformation
— We show that the Fisher-Rao Riemannian metric is a natural, intrinsic tool for computing shape geodesics. When a parameterized probability density function is used to represent...
Adrian Peter, Anand Rangarajan
ICIP
2009
IEEE
15 years 11 months ago
Face Recognition With Salient Local Gradient Orientation Binary Patterns
This paper proposes a new face recognition method. There are two novelties in the proposed method. First, a new saliency measure function is designed to detect the most salient re...
PAMI
2006
99views more  PAMI 2006»
14 years 9 months ago
A New Convexity Measure Based on a Probabilistic Interpretation of Images
In this article we present a novel convexity measure for object shape analysis. The proposed method is based on the idea of generating pairs of points from a set, and measuring th...
Esa Rahtu, Mikko Salo, Janne Heikkilä
PRL
2008
78views more  PRL 2008»
14 years 9 months ago
Retrieving scale from quasi-stationary images
(204 words) We have developed a novel method to derive scale information from quasi-stationary images, which relies on a rotation-guided multi-scale analysis of features derived fr...
Piotr W. Mirowski, Daniel M. Tetzlaff