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» Layered Object Models for Image Segmentation
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ICCV
1995
IEEE
15 years 1 months ago
Topologically Adaptable Snakes
This paper presents a topologically adaptable snakes model for image segmentation and object representation. The model is embedded in the framework of domain subdivision using sim...
Tim McInerney, Demetri Terzopoulos
ICCV
2005
IEEE
15 years 11 months ago
A Hierarchical Field Framework for Unified Context-Based Classification
We present a two-layer hierarchical formulation to exploit different levels of contextual information in images for robust classification. Each layer is modeled as a conditional f...
Sanjiv Kumar, Martial Hebert
IJON
2008
158views more  IJON 2008»
14 years 9 months ago
Blind separation of convolutive image mixtures
Convolutive mixtures of images are common in photography of semi-reflections. They also occur in microscopy and tomography. Their formation process involves focusing on an object ...
Sarit Shwartz, Yoav Y. Schechner, Michael Zibulevs...
ISBI
2007
IEEE
15 years 4 months ago
A Variational Model for Level-set Based Cell Tracking in Time-lapse Fluorescence Microscopy Images
Quantifying the motion and deformation of large numbers of cells through image sequences obtained with fluorescence microscopy is a recurrent task in many biological studies. Aut...
Oleh Dzyubachyk, Wiro J. Niessen, Erik H. W. Meije...
IJCV
2006
115views more  IJCV 2006»
14 years 9 months ago
Object Recognition as Many-to-Many Feature Matching
Object recognition can be formulated as matching image features to model features. When recognition is exemplar-based, feature correspondence is one-to-one. However, segmentation e...
M. Fatih Demirci, Ali Shokoufandeh, Yakov Keselman...