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» Tracking Complex Objects Using Graphical Object Models
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ECCV
2006
Springer
15 years 6 months ago
Learning Semantic Scene Models by Trajectory Analysis
Abstract. In this paper, we describe an unsupervised learning framework to segment a scene into semantic regions and to build semantic scene models from longterm observations of mo...
Xiaogang Wang, Kinh Tieu, Eric Grimson
CVPR
2007
IEEE
16 years 5 months ago
Filtered Component Analysis to Increase Robustness to Local Minima in Appearance Models
Appearance Models (AM) are commonly used to model appearance and shape variation of objects in images. In particular, they have proven useful to detection, tracking, and synthesis...
Fernando De la Torre, Alvaro Collet, Manuel Quero,...
BMVC
2010
15 years 1 months ago
Joint Modeling of Algorithm Behavior and Image Quality for Algorithm Performance Prediction
In this paper, we propose a framework for predicting the performance of a vision algorithm given the input image or video so as to maximize the algorithm's ability to provide...
Apurva Gala, Shishir Shah
HUC
2011
Springer
14 years 2 months ago
Mediated tabletop interaction in the biology lab: exploring the design space of the rabbit
Interactive surfaces like diffuse illumination tabletops (DIT) identify and track objects using multiple techniques like shape and color recognition, fiducial markers, electronic...
Juan David Hincapié-Ramos, Aurélien ...
SIGGRAPH
1996
ACM
15 years 7 months ago
Fitting Smooth Surfaces to Dense Polygon Meshes
Recent progress in acquiring shape from range data permits the acquisition of seamless million-polygon meshes from physical models. In this paper, we present an algorithm and syst...
Venkat Krishnamurthy, Marc Levoy