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» Using Biologically Inspired Features for Face Processing
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ECCV
2010
Springer
13 years 7 months ago
Coupled Gaussian Process Regression for Pose-Invariant Facial Expression Recognition
We present a novel framework for the recognition of facial expressions at arbitrary poses that is based on 2D geometric features. We address the problem by first mapping the 2D loc...
Ognjen Rudovic, Ioannis Patras, Maja Pantic
FASE
2006
Springer
14 years 17 days ago
: Designing a Scalable Build Process
Modern software codebases are frequently large, heterogeneous, and constantly evolving. The languages and tools for software construction, including code builds and configuration m...
Jason Hickey, Aleksey Nogin
AAAI
2012
11 years 11 months ago
Pre-Symptomatic Prediction of Plant Drought Stress Using Dirichlet-Aggregation Regression on Hyperspectral Images
Pre-symptomatic drought stress prediction is of great relevance in precision plant protection, ultimately helping to meet the challenge of “How to feed a hungry world?”. Unfor...
Kristian Kersting, Zhao Xu, Mirwaes Wahabzada, Chr...
ICPR
2006
IEEE
14 years 10 months ago
A Person and Context Specific Approach for Skin Color Classification
Skin color is an important feature of faces. Various applications benefit from robust skin color detection. Depending on camera settings, illumination, shadows, people's tans...
Matthias Wimmer, Bernd Radig, Michael Beetz
VIS
2007
IEEE
152views Visualization» more  VIS 2007»
14 years 10 months ago
An Effective Illustrative Visualization Framework Based on Photic Extremum Lines (PELs)
Conveying shape using feature lines is an important visualization tool in visual computing. The existing feature lines (e.g., ridges, valleys, silhouettes, suggestive contours, etc...
Xuexiang Xie, Ying He, Feng Tian, Hock-Soon Sea...