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MICCAI
2010
Springer
14 years 2 months ago
  A Fully Automated Approach to Segmentation of Irregularly Shaped Cellular Structures in EM Images
While there has been substantial progress in segmenting natural im- ages, state-of-the-art methods that perform well in such tasks unfortunately tend to underperform ...
A. Lucchi, K. Smith, R. Achanta, V. Lepetit, P. Fu...
ICDM
2006
IEEE
155views Data Mining» more  ICDM 2006»
14 years 2 months ago
Automatic Single-Organ Segmentation in Computed Tomography Images
In this paper, we propose a hybrid approach for automatic single-organ segmentation in Computed Tomography (CT) data. The approach consists of three stages: first, a probability i...
Ruchaneewan Susomboon, Daniela Stan Raicu, Jacob D...
PAMI
2007
123views more  PAMI 2007»
13 years 8 months ago
Unsupervised Statistical Segmentation of Nonstationary Images Using Triplet Markov Fields
—Recent developments in statistical theory and associated computational techniques have opened new avenues for image modeling as well as for image segmentation techniques. Thus, ...
Dalila Benboudjema, Wojciech Pieczynski
MIRAGE
2009
Springer
14 years 1 months ago
Region-Based vs. Edge-Based Registration for 3D Motion Capture by Real Time Monoscopic Vision
3D human motion capture by real-time monocular vision without using markers can be achieved by registering a 3D articulated model on a video. Registration consists in iteratively o...
David Antonio Gómez Jáuregui, Patric...
NIPS
2003
13 years 10 months ago
A Model for Learning the Semantics of Pictures
We propose an approach to learning the semantics of images which allows us to automatically annotate an image with keywords and to retrieve images based on text queries. We do thi...
Victor Lavrenko, R. Manmatha, Jiwoon Jeon