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» Statistics of Real-World Illumination
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ICML
2008
IEEE
16 years 18 days ago
Learning to classify with missing and corrupted features
After a classifier is trained using a machine learning algorithm and put to use in a real world system, it often faces noise which did not appear in the training data. Particularl...
Ofer Dekel, Ohad Shamir
MM
2010
ACM
196views Multimedia» more  MM 2010»
14 years 12 months ago
Non-parametric anomaly detection exploiting space-time features
In this paper a real-time anomaly detection system for video streams is proposed. Spatio-temporal features are exploited to capture scene dynamic statistics together with appearan...
Lorenzo Seidenari, Marco Bertini
ACCV
2009
Springer
15 years 6 months ago
Weighted Map for Reflectance and Shading Separation Using a Single Image
In real world, a scene is composed by many characteristics. Intrinsic images represent these characteristics by two components, reflectance (the albedo of each point) and shading (...
Sung-Hsien Hsieh, Chih-Wei Fang, Te-Hsun Wang, Chi...
SMC
2007
IEEE
123views Control Systems» more  SMC 2007»
15 years 6 months ago
Logarithmic edge detection with applications
—In real world machine vision problems, numerous issues such as variable scene illumination make edge and object detection difficult. There exists no universal edge detection met...
Eric J. Wharton, Karen Panetta, Sos S. Agaian
ISUVR
2007
15 years 1 months ago
Light Source Estimation for Realistic Shadow using Segmented HDR Images
— To achieve seamless integration of the real scene with virtual objects, we need to obtain accurate illumination condition of the real scene. Using HDRI (High Dynamic Range Imag...
JaeDoug Yoo, Kwanheng Lee