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» Segmenting Salient Objects from Images and Videos
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ICCV
1999
IEEE
16 years 8 months ago
Fluid Motion Recovery by Coupling Dense and Parametric Vector Fields
In this paper we address the problem of estimating and analyzing the motion in image sequences that involve fluid phenomena. In this context standard motion estimation techniques ...
Étienne Mémin, Patrick Pérez
SSIAI
2000
IEEE
15 years 10 months ago
Towards Knowledge-Based Extraction of Roads from 1m-Resolution Satellite Images
As IKONOS satellite with 1m-resolution camera has been launched in 1999, mapping using space-borne images will be a hot issue in computer vision area as well as photogrammetry, ma...
Hae-Yeoun Lee, Heung-Kyu Lee, Tak-gon Kim, Wonkyu ...
CVPR
2008
IEEE
16 years 8 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...
CVPR
1998
IEEE
16 years 8 months ago
Background Modeling for Segmentation of Video-Rate Stereo Sequences
Stereo sequences promise to be a powerful method for segmenting images for applications such as tracking human figures. We present a method of statistical background modeling for ...
Christopher K. Eveland, Kurt Konolige, Robert C. B...
ICIP
2005
IEEE
16 years 8 months ago
Implicit surface segmentation by minimal paths, applications in 3D medical images
In this paper we introduce a novel edge-based, implicit approach for single object segmentation in 3D images. From a couple of curves, traced by the user on the object to be segme...
Roberto Ardon, Laurent D. Cohen, Anthony J. Yezzi