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» Object Structure from Noisy Images
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100
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ICCV
2009
IEEE
14 years 9 months ago
Unsupervised learning of high-order structural semantics from images
Structural semantics are fundamental to understanding both natural and man-made objects from languages to buildings. They are manifested as repeated structures or patterns and are...
Jizhou Gao, Yin Hu, Jinze Liu, Ruigang Yang
MICCAI
2005
Springer
15 years 5 months ago
Adaptive Spatio-Temporal Restoration for 4D Fluorescence Microscopic Imaging
Abstract. We present a spatio-temporal filtering method for significantly increasing the signal-to-noise ratio (SNR) in noisy fluorescence microscopic image sequences where smal...
Jérôme Boulanger, Charles Kervrann, P...
95
Voted
RAS
2007
115views more  RAS 2007»
14 years 11 months ago
A variational method for the recovery of dense 3D structure from motion
The purpose of this study is to investigate a variational formulation of the problem of three-dimensional (3D) interpretation of temporal image sequences based on the 3D brightnes...
Hicham Sekkati, Amar Mitiche
93
Voted
CVPR
2006
IEEE
16 years 1 months ago
Image-Segmentation Evaluation From the Perspective of Salient Object Extraction
Image segmentation and its performance evaluation are very difficult but important problems in computer vision. A major challenge in segmentation evaluation comes from the fundame...
Feng Ge, Song Wang, Tiecheng Liu
94
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PR
2002
98views more  PR 2002»
14 years 11 months ago
Detection of curvilinear structures and reconstruction of their regions in gray-scale images
In this paper, we present a new method for detecting curvilinear structures and reconstructing their regions in gray-scale images. The concept of skeleton extraction is introduced...
Jeong-Hun Jang, Ki-Sang Hong