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IJCNN
2007
IEEE
15 years 4 months ago
Analysis of mammogram using self-organizing neural networks based on spatial isomorphism
— The correct segmentation and measurement of mammography images is of fundamental importance for the development of automatic or computer-aided cancer detection systems. In this...
Aida A. Ferreira, Francisco Nascimento Jr., Ing Re...
PAMI
2006
358views more  PAMI 2006»
14 years 9 months ago
Recovering 3D Human Pose from Monocular Images
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pri...
Ankur Agarwal, Bill Triggs
ICDAR
2003
IEEE
15 years 3 months ago
Radon Transform for Lineal Symbol Representation
Content-based retrieval and recognition of graphic images requires good models for symbol representation, able to identify those features providing the most relevant information a...
Oriol Ramos Terrades, Ernest Valveny
MIA
2011
170views more  MIA 2011»
14 years 4 months ago
Robust statistical shape models for MRI bone segmentation in presence of small field of view
Accurate bone modeling from medical images is essential in the diagnosis and treatment of patients because it supports the detection of abnormal bone morphology, which is often re...
Jérôme Schmid, Jinman Kim, Nadia Magn...
CAIP
2009
Springer
248views Image Analysis» more  CAIP 2009»
15 years 1 months ago
Rapid Inference of Object Rigidity and Reflectance Using Optic Flow
Abstract. Rigidity and reflectance are key object properties, important in their own rights, and they are key properties that stratify motion reconstruction algorithms. However, th...
Di Zang, Katja Doerschner, Paul R. Schrater