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» Robust Autonomous Model Learning from 2D and 3D Data Sets
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MM
2005
ACM
250views Multimedia» more  MM 2005»
15 years 3 months ago
An object-based video coding framework for video sequences obtained from static cameras
This paper presents a novel object-based video coding framework for videos obtained from a static camera. As opposed to most existing methods, the proposed method does not require...
Asaad Hakeem, Khurram Shafique, Mubarak Shah
CVPR
2012
IEEE
12 years 12 months ago
A new mirror-based extrinsic camera calibration using an orthogonality constraint
This paper is aimed at calibrating the relative posture and position, i.e. extrinsic parameters, of a stationary camera against a 3D reference object which is not directly visible...
Kosuke Takahashi, Shohei Nobuhara, Takashi Matsuya...
CVPR
2006
IEEE
15 years 11 months ago
Joint Boosting Feature Selection for Robust Face Recognition
A fundamental challenge in face recognition lies in determining what facial features are important for the identification of faces. In this paper, a novel face recognition framewo...
Rong Xiao, Wu-Jun Li, Yuandong Tian, Xiaoou Tang
TVCG
2010
186views more  TVCG 2010»
14 years 8 months ago
An Information-Theoretic Framework for Flow Visualization
—The process of visualization can be seen as a visual communication channel where the input to the channel is the raw data, and the output is the result of a visualization algori...
Lijie Xu, Teng-Yok Lee, Han-Wei Shen
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SCALESPACE
2009
Springer
15 years 4 months ago
An Elasticity Approach to Principal Modes of Shape Variation
Abstract. Concepts from elasticity are applied to analyze modes of variation on shapes in two and three dimensions. This approach represents a physically motivated alternative to s...
Martin Rumpf, Benedikt Wirth