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EMMCVPR
2005
Springer
15 years 10 months ago
Segmentation Informed by Manifold Learning
In many biomedical imaging applications, video sequences are captured with low resolution and low contrast challenging conditions in which to detect, segment, or track features. Wh...
Qilong Zhang, Richard Souvenir, Robert Pless
159
Voted
ICCV
2001
IEEE
16 years 6 months ago
Articulated Soft Objects for Video-based Body Modeling
We develop a framework for 3?D shape and motion recovery of articulated deformable objects. We propose a formalism that incorporates the use of implicit surfaces into earlier robo...
Pascal Fua, Ralf Plänkers
ICIP
2009
IEEE
16 years 5 months ago
Semantic Labeling Of Track Events Using Time Series Segmentation And Shape Analysis
This paper presents a novel framework for applying semantic labels to events within a track. A track is a two-dimensional (2D) or a three-dimensional (3D) signal in time where eac...
ICMCS
2005
IEEE
111views Multimedia» more  ICMCS 2005»
15 years 10 months ago
Enhancing curvature scale space features for robust shape classification
The curvature scale space (CSS) technique, which is also part of the MPEG-7 standard is a robust method to describe complex shapes.The central idea is to analyze the curvature of ...
Stephan Kopf, Thomas Haenselmann, Wolfgang Effelsb...
168
Voted
CVPR
2010
IEEE
15 years 4 months ago
Scene understanding by statistical modeling of motion patterns
We present a novel method for the discovery and statistical representation of motion patterns in a scene observed by a static camera. Related methods involving learning of pattern...
Imran Saleemi, Lance Hartung, Mubarak Shah