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» Functional imaging and neuronal information processing
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ICIP
2005
IEEE
14 years 9 months ago
Metrology in uncalibrated images given one vanishing point
In this paper, we describe how 3D Euclidean measurements can be made in a pair of uncalibrated images, when only minimal geometric information are available in the image planes. T...
Hassan Foroosh, Xiaochun Cao, Murat Balci
AVSS
2006
IEEE
13 years 11 months ago
Classification-Based Likelihood Functions for Bayesian Tracking
The success of any Bayesian particle filtering based tracker relies heavily on the ability of the likelihood function to discriminate between the state that fits the image well an...
Chunhua Shen, Hongdong Li, Michael J. Brooks
ICIP
2001
IEEE
14 years 9 months ago
Color segmentation through independent anisotropic diffusion of complex chromaticity and lightness
This paper presents a new technique based on anisotropic diffusion for segmenting color images. This operation is accomplished through two independent anisotropic diffusion proces...
Luca Lucchese, Sanjit K. Mitra
IWDW
2009
Springer
14 years 2 months ago
Estimating the Information Theoretic Optimal Stego Noise
We recently developed a new benchmark for steganography, underpinned by the square root law of capacity, called Steganographic Fisher Information (SFI). It is related to the multip...
Andrew D. Ker
CVPR
2009
IEEE
15 years 2 months ago
Multiphase Geometric Couplings for the Segmentation of Neural Processes
The ability to constrain the geometry of deformable models for image segmentation can be useful when information about the expected shape or positioning of the objects in a scene i...
Amelio Vázquez Reina, Eric Miller, Hanspete...