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» Image Segmentation Using Co-EM Strategy
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CVPR
2005
IEEE
13 years 10 months ago
A Two-Stage Level Set Evolution Scheme for Man-Made Objects Detection in Aerial Images
A novel two-stage level set evolution method for detecting man-made objects in aerial images is described. The method is based on a modified Mumford-Shah model and it uses a two-s...
Guo Cao, Xin Yang, Zhihong Mao
ICDAR
2009
IEEE
13 years 5 months ago
Semi-automatic Forensic Reconstruction of Ripped-up Documents
Manual reconstruction of ripped-up documents can be a very difficult and time-consuming task. This paper discusses a semi-automatic toolset that can be used for reconstructing rip...
Patrick de Smet
TIFS
2011
252views Education» more  TIFS 2011»
13 years 2 months ago
Quality Assessment of Degraded Iris Images Acquired in the Visible Wavelength
—Data quality assessment is a key issue, in order to broad the applicability of iris biometrics to unconstrained imaging conditions. Previous research efforts sought to use visib...
Hugo Proença
ICDAR
2005
IEEE
14 years 1 months ago
Unconstrained Numeral Pair Recognition Using Enhanced Error Correcting Output Coding: A Holistic Approach
– This paper describes a new approach to recognize touching numeral strings. Currently most methods for numeral string recognition require segmenting the string image into separa...
Jie Zhou, Ching Y. Suen
MVA
1994
138views Computer Vision» more  MVA 1994»
13 years 9 months ago
A High-Speed Document Image Classifier
In this paper, a high-speed document image classification algorithm is presented. The algorithm is based on the bottom-up strategy which can successfully segment and classify any ...
Lejun Shao