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CVPR
2003
IEEE
16 years 8 months ago
Practical Non-parametric Density Estimation on a Transformation Group for Vision
It is now common practice in machine vision to define the variability in an object's appearance in a factored manner, as a combination of shape and texture transformations. I...
Erik G. Miller, Christophe Chefd'Hotel
CVPR
2004
IEEE
16 years 8 months ago
Efficient Belief Propagation for Early Vision
Markov random field models provide a robust and unified framework for early vision problems such as stereo, optical flow and image restoration. Inference algorithms based on graph...
Pedro F. Felzenszwalb, Daniel P. Huttenlocher
ICCV
1999
IEEE
16 years 8 months ago
Resolution Invariant Surfaces for Panoramic Vision Systems
A family of axially symmetric mirror shapes are proposed for panoramic imaging. These shapes keep the resolution in the image invariant to changes in elevation in the scene. In ot...
Tanya L. Conroy, John B. Moore
ECCV
2008
Springer
16 years 8 months ago
Online Sparse Matrix Gaussian Process Regression and Vision Applications
We present a new Gaussian Process inference algorithm, called Online Sparse Matrix Gaussian Processes (OSMGP), and demonstrate its merits with a few vision applications. The OSMGP ...
Ananth Ranganathan, Ming-Hsuan Yang
ICPR
2004
IEEE
16 years 7 months ago
Stealth Vision for Protecting Privacy
We propose an anonymous video capturing system, called "Stealth Vision", that protects the privacy of objects by fading out their appearance. In order to avoid difficult...
Itaru Kitahara, Kiyoshi Kogure, Norihiro Hagita