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» Segmenting Salient Objects from Images and Videos
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MICCAI
2002
Springer
16 years 7 months ago
A Statistical Shape Model for the Liver
The use of statistical shape models is a promising approach for robust segmentation of medical images. One of the major challenges in building a 3D shape model from a training set ...
Hans Lamecker, Thomas Lange, Martin Seebass
ECCV
1996
Springer
16 years 8 months ago
Learning Dynamics of Complex Motions from Image Sequences
In Proc. European Conf. Computer Vision, 1996, pp. 357{368, Cambridge, UK The performance of Active Contours in tracking is highly dependent on the availability of an appropriate ...
David Reynard, Andrew Wildenberg, Andrew Blake, Jo...
EVENT
2001
202views more  EVENT 2001»
15 years 7 months ago
Detecting Independently Moving Objects and Their Interactions in Georeferenced Airborne Video
In airborne video, objects are tracked from a moving camera and often imaged at very low resolution. The camera movement makes it difficult to determine whether or not an object i...
J. Brian Burns
CVPR
2000
IEEE
16 years 8 months ago
Recovering Non-Rigid 3D Shape from Image Streams
This paper addresses the problem of recovering 3D non-rigid shape models from image sequences. For example, given a video recording of a talking person, we would like to estimate ...
Christoph Bregler, Aaron Hertzmann, Henning Bierma...
TCSV
2008
291views more  TCSV 2008»
15 years 6 months ago
A Statistical Video Content Recognition Method Using Invariant Features on Object Trajectories
Abstract--This work is dedicated to a statistical trajectorybased approach addressing two issues related to dynamic video content understanding: recognition of events and detection...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...