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» Computer Vision: Algorithms and Applications
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ICPR
2006
IEEE
16 years 5 months ago
Learning Wormholes for Sparsely Labelled Clustering
Distance functions are an important component in many learning applications. However, the correct function is context dependent, therefore it is advantageous to learn a distance f...
Eng-Jon Ong, Richard Bowden
CVPR
2010
IEEE
16 years 28 days ago
Learning Shift-Invariant Sparse Representation of Actions
A central problem in the analysis of motion capture (Mo- Cap) data is how to decompose motion sequences into primitives. Ideally, a description in terms of primitives should fac...
Yi Li
ICPR
2008
IEEE
15 years 11 months ago
An improved mean-shift tracker with kernel prediction and scale optimisation targeting for low-frame-rate video tracking
The mean-shift (MS) algorithm is widely used in object tracking because of its speed and simplicity. However, it assumes certain overlap of object appearance and smooth change in ...
Zhidong Li, Jing Chen, Nicol N. Schraudolph
WACV
2008
IEEE
15 years 11 months ago
Multi-Pose Face Detection with Asymmetric Haar Features
In this paper we present a system for multi-pose face detection. Our system presents three main contributions. First, we introduce the use of asymmetric Haar features. Asymmetric ...
Geovany A. Ramírez, Olac Fuentes
MIRAGE
2007
Springer
15 years 11 months ago
Fitting Subdivision Surface Models to Noisy and Incomplete 3-D Data
Abstract. We describe an algorithm for fitting a Catmull-Clark subdivision surface model to an unstructured, incomplete and noisy data set. We complete the large missing data regi...
Spela Ivekovic, Emanuele Trucco