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» A new method for camera motion parameter estimation
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ICIP
2004
IEEE
14 years 9 months ago
Unsupervised motion detection using a markovian temporal model with global spatial constraints
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Pierre-Marc Jodoin, Max Mignotte
ICIP
2009
IEEE
13 years 5 months ago
Device temporal forensics: An information theoretic approach
By formulating the problem of ordering the outputs observed from a device over time, we pose a new problem in forensics and propose a framework for addressing this problem of devi...
Junwen Mao, Orhan Bulan, Gaurav Sharma, Suprakash ...
ICIP
2007
IEEE
14 years 9 months ago
Mirror-Based Multi-View Analysis of Facial Motions
We present our system for the capturing and analysis of 3D facial motion. A high speed camera is used as capture unit in combination with two surface mirrors. The mirrors provide ...
Jürgen Rurainsky, Peter Eisert
DAGM
2009
Springer
13 years 11 months ago
An Efficient Linear Method for the Estimation of Ego-Motion from Optical Flow
Abstract. Approaches to visual navigation, e.g. used in robotics, require computationally efficient, numerically stable, and robust methods for the estimation of ego-motion. One of...
Florian Raudies, Heiko Neumann
CVPR
2006
IEEE
14 years 1 months ago
New Method of Probability Density Estimation with Application to Mutual Information Based Image Registration
We present a new, robust and computationally efficient method for estimating the probability density of the intensity values in an image. Our approach makes use of a continuous r...
Ajit Rajwade, Arunava Banerjee, Anand Rangarajan