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» Optimization of Target Objects for Natural Feature Tracking
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CVPR
2008
IEEE
15 years 11 months ago
Real-time pose estimation of articulated objects using low-level motion
We present a method that is capable of tracking and estimating pose of articulated objects in real-time. This is achieved by using a bottom-up approach to detect instances of the ...
Ben Daubney, David P. Gibson, Neill W. Campbell
VMV
2001
101views Visualization» more  VMV 2001»
14 years 11 months ago
Object Localization Using Linear Adaptive Filters
We present a novel approach to localization of objects in clutter images with the use of linear adaptive filters in a two-object classifier: target object versus clutter object. A...
Ben-Zion Shaick, Leonid P. Yaroslavsky
IROS
2007
IEEE
149views Robotics» more  IROS 2007»
15 years 4 months ago
Kernel-based visual servoing
— Traditionally, visual servoing is separated into tracking and control subsystems. This separation, though convenient, is not necessarily well justified. When tracking and cont...
Vinutha Kallem, Maneesh Dewan, John P. Swensen, Gr...
CIVR
2007
Springer
195views Image Analysis» more  CIVR 2007»
15 years 4 months ago
Towards optimal bag-of-features for object categorization and semantic video retrieval
Bag-of-features (BoF) deriving from local keypoints has recently appeared promising for object and scene classification. Whether BoF can naturally survive the challenges such as ...
Yu-Gang Jiang, Chong-Wah Ngo, Jun Yang 0003
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
15 years 4 months ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna