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» Level Set Methods for Watershed Image Segmentation
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MVA
1990
123views Computer Vision» more  MVA 1990»
13 years 10 months ago
Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System
Abstract When the data is processed from the digitized drawThis paper presents how the recently presented Randomized IIough Transform (RHT) method can be used as a part of an engin...
Pekka Kultanen, Erkki Oja, Lei Xu
ICPR
2006
IEEE
14 years 9 months ago
Generic Detection of Multi-Part Objects
A method is proposed to detect multi-part man-made or natural objects in complex images. It consists in first extracting simple curves and straight lines from the edge map. Then, ...
Jean-Francois Bernier, Robert Bergevin
SAC
2003
ACM
14 years 2 months ago
A Markov Random Field Model of Microarray Gridding
DNA microarray hybridisation is a popular high throughput technique in academic as well as industrial functional genomics research. In this paper we present a new approach to auto...
Mathias Katzer, Franz Kummert, Gerhard Sagerer
ICCV
2011
IEEE
12 years 8 months ago
Discovering Object Instances from Scenes of Daily Living
We propose an approach to identify and segment objects from scenes that a person (or robot) encounters in Activities of Daily Living (ADL). Images collected in those cluttered sce...
Hongwen Kang, Martial Hebert, Takeo Kanade
ICPR
2000
IEEE
14 years 9 months ago
Robust Localization Using Panoramic View-Based Recognition
The results of recent studies on the possibility of spatial localization from panoramic images have shown good prospects for view-based methods. The major advantages of these meth...
Matjaz Jogan, Ales Leonardis