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CVPR
2007
IEEE
16 years 5 months ago
Integrating Global and Local Structures: A Least Squares Framework for Dimensionality Reduction
Linear Discriminant Analysis (LDA) is a popular statistical approach for dimensionality reduction. LDA captures the global geometric structure of the data by simultaneously maximi...
Jianhui Chen, Jieping Ye, Qi Li
ECCV
2008
Springer
16 years 5 months ago
Hierarchical Support Vector Random Fields: Joint Training to Combine Local and Global Features
Abstract. Recently, impressive results have been reported for the detection of objects in challenging real-world scenes. Interestingly however, the underlying models vary greatly e...
Paul Schnitzspan, Mario Fritz, Bernt Schiele
109
Voted
AFRIGRAPH
2006
ACM
15 years 9 months ago
Cost prediction for global illumination using a fast rasterised scene preview
The media industry is demanding increasing fidelity for their rendered images. Despite the advent of modern GPUs, the computational requirements of physically based global illumi...
Richard Gillibrand, Peter Longhurst, Kurt Debattis...
141
Voted
PR
2008
146views more  PR 2008»
15 years 3 months ago
Integration of local and global geometrical cues for 3D face recognition
We present a unified feature representation of 2.5D pointclouds and apply it to face recognition. The representation integrates local and global geometrical cues in a single compa...
Faisal R. Al-Osaimi, Mohammed Bennamoun, Ajmal S. ...
123
Voted
ICCV
2011
IEEE
14 years 3 months ago
Multiplexed Illumination for Scene Recovery in the Presence of Global Illumination
Global illumination effects such as inter-reflections and subsurface scattering result in systematic, and often significant errors in scene recovery using active illumination. R...
Jinwei Gu, Toshihiro Kabayashi, Mohit Gupta, Shree...