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» Object Recognition Using Segmentation for Feature Detection
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WACV
2008
IEEE
16 years 1 months ago
Likelihood Map Fusion for Visual Object Tracking
Visual object tracking can be considered as a figure-ground classification task. In this paper, different features are used to generate a set of likelihood maps for each pixel i...
Zhaozheng Yin, Fatih Porikli, Robert T. Collins
CVPR
1999
IEEE
1104views Computer Vision» more  CVPR 1999»
16 years 8 months ago
Geodesic Active Contours for Supervised Texture Segmentation
This paper presents a variational method for supervised texture segmentation, which is based on ideas coming from the curve propagation theory. We assume that a preferable texture...
Nikos Paragios, Rachid Deriche
CVPR
2000
IEEE
15 years 11 months ago
Segmentation with Invisible Keying Signal
Croma keying is the process of segmenting objects from images and video using color cues. A blue (or green) screen placed behind an object during recording is used in special effe...
Moshe Ben-Ezra
CG
2006
Springer
15 years 6 months ago
Approximate collision response using closest feature maps
In this paper we consider the novel idea of closest feature maps (CFMs) applied to refinable collision response in order to address the potential issues and problems associated wi...
Thanh Giang, Carol O'Sullivan
ACSW
2004
15 years 8 months ago
A wavelet-based neuro-fuzzy system for data mining small image sets
Creating a robust image classification system depends on having enough data with which one can adequately train and validate the model. If there is not enough available data, this...
Brendon J. Woodford, Da Deng, George L. Benwell