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» Segmentation of medical images using a genetic algorithm
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SI3D
2005
ACM
15 years 11 months ago
Volume catcher
It is difficult to obtain a specific region within unsegmented volume data (region of interest, ROI). The user must first segment the volume, a task which itself involves signi...
Shigeru Owada, Frank Nielsen, Takeo Igarashi
ICCV
2009
IEEE
16 years 11 months ago
Moving in Stereo: Efficient Structure and Motion Using Lines
We present a fast and robust system for estimating structure and motion using a stereo pair, with straight lines as features. Our first set of contributions are efficient algorit...
Manmohan Chandraker, Jongwoo Lim, David Kriegman
PR
2007
189views more  PR 2007»
15 years 5 months ago
Information cut for clustering using a gradient descent approach
We introduce a new graph cut for clustering which we call the Information Cut. It is derived using Parzen windowing to estimate an information theoretic distance measure between p...
Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II...
SMA
2010
ACM
181views Solid Modeling» more  SMA 2010»
15 years 6 months ago
Merging and smoothing machining boundaries on cutter location surfaces
In region machining, neighbouring regions may be close together, but disconnected. Boundary curves may also have unwanted geometric artifacts caused by approximation and discretis...
Weishi Li, Ralph R. Martin, Frank C. Langbein
ECCV
2004
Springer
15 years 11 months ago
CT from an Unmodified Standard Fluoroscopy Machine Using a Non-reproducible Path
3D reconstruction from image data is required in many medical procedures. Recently, the use of fluoroscopy data to generate these 3D models has been explored. Most existing methods...
Chris Baker, Christian Debrunner, Mohamed Mahfouz,...