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CVPR
2003
IEEE
16 years 2 months ago
Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...
Charless Fowlkes, David R. Martin, Jitendra Malik
CVPR
2004
IEEE
16 years 2 months ago
Automatic Method for Correlating Horizons across Faults in 3D Seismic Data
Horizons are visible boundaries between certain sediment layers in seismic data, and a fault is a crack of horizons and it is recognized in seismic data by the discontinuities of ...
Fitsum Admasu, Klaus D. Tönnies
ICCV
2005
IEEE
16 years 2 months ago
Efficient Learning of Relational Object Class Models
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
ICCV
1999
IEEE
16 years 2 months ago
Segmentation using Eigenvectors: A Unifying View
Automatic grouping and segmentation of images remains a challenging problem in computer vision. Recently, a number of authors have demonstrated good performance on this task using...
Yair Weiss
109
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ICIP
2003
IEEE
16 years 2 months ago
Robust line detection using a weighted MSE estimator
In this paper we introduce a novel line detection algorithm based on a weighted minimum mean square error (MSE) formulation. This algorithm has been developed to enable an autonom...
Guido M. Schuster, Aggelos K. Katsaggelos