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» A Segmentation Algorithm for Noisy Images
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CVPR
1999
IEEE
16 years 2 months ago
Panoramic EPI Generation and Analysis of Video from a Moving Platform with Vibration
This paper presents a novel approach for generating and analyzing epipolar plane images (EPIs) from video sequences taken from a moving platform subject to vibration so that the 3...
Zhigang Zhu, Guangyou Xu, Xueyin Lin
250
Voted

Book
5396views
16 years 11 months ago
Markov Random Field Modeling in Computer Vision
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
Stan Z. Li
CVPR
2009
IEEE
16 years 7 months ago
Let the Kernel Figure it Out; Principled Learning of Pre-processing for Kernel Classifiers
Most modern computer vision systems for high-level tasks, such as image classification, object recognition and segmentation, are based on learning algorithms that are able to se...
Peter V. Gehler, Sebastian Nowozin
125
Voted
CVPR
2009
IEEE
16 years 6 months ago
Tracking of Cell Populations to Understand their Spatio-Temporal Behavior in Response to Physical Stimuli
We have developed methods for segmentation and tracking of cells in time-lapse phase-contrast microscopy images. Our multi-object Bayesian algorithm detects and tracks large num...
David House, Matthew Walker, Zheng Wu, Joyce Wong,...
160
Voted
ECCV
2004
Springer
16 years 2 months ago
A Biologically Motivated and Computationally Tractable Model of Low and Mid-Level Vision Tasks
This paper presents a biologically motivated model for low and mid-level vision tasks and its interpretation in computer vision terms. Initially we briefly present the biologically...
Iasonas Kokkinos, Rachid Deriche, Petros Maragos, ...