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» Variational Constraints in 3D
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MICCAI
2007
Springer
15 years 10 months ago
Adaptive Metamorphs Model for 3D Medical Image Segmentation
Abstract. In this paper, we introduce an adaptive model-based segmentation framework, in which edge and region information are integrated and used adaptively while a solid model de...
Junzhou Huang, Xiaolei Huang, Dimitris N. Metaxas,...
79
Voted
IPMI
2001
Springer
15 years 10 months ago
3D Vascular Segmentation Using MRA Statistics and Velocity Field Information in PC-MRA
Abstract. This paper presents a new and integrated approach to automatic 3D brain vessel segmentation using physics-based statistical models of background and vascular signals, and...
Albert C. S. Chung, J. Alison Noble, Paul E. Summe...
CVPR
2010
IEEE
15 years 5 months ago
Scale-Hierarchical 3D Object Recognition in Cluttered Scenes
3D object recognition in scenes with occlusion and clutter is a difficult task. In this paper, we introduce a method that exploits the geometric scale-variability to aid in this ...
Prabin Bariya, Ko Nishino
3DIC
2009
IEEE
279views Hardware» more  3DIC 2009»
15 years 4 months ago
Compact modelling of Through-Silicon Vias (TSVs) in three-dimensional (3-D) integrated circuits
Abstract—Modeling parasitic parameters of Through-SiliconVia (TSV) structures is essential in exploring electrical characteristics such as delay and signal integrity (SI) of circ...
Roshan Weerasekera, Matt Grange, Dinesh Pamunuwa, ...
94
Voted
ICCV
2007
IEEE
15 years 4 months ago
Scale-Dependent 3D Geometric Features
Three-dimensional geometric data play fundamental roles in many computer vision applications. However, their scale-dependent nature, i.e. the relative variation in the spatial ext...
John Novatnack, Ko Nishino