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» Recovering Illumination and Texture Using Ratio Images
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DICTA
2003
15 years 3 months ago
Background Modeling and Subtraction Using a Local-linear-dependence-based Cauchy Statistical Model
:Many motion object detection algorithms rely on the process of background subtraction, an important technique which is used for detecting changes from a model of the background ...
Ying Ming, Jingjue Jiang, Jun Ming
ECCV
2004
Springer
16 years 3 months ago
On the Significance of Real-World Conditions for Material Classification
Classifying materials from their appearance is a challenging problem, especially if illumination and pose conditions are permitted to change: highlights and shadows caused by 3D st...
Eric Hayman, Barbara Caputo, Mario Fritz, Jan-Olof...
114
Voted
SIGGRAPH
1999
ACM
15 years 6 months ago
Realistic, Hardware-Accelerated Shading and Lighting
With fast 3D graphics becoming more and more available even on low end platforms, the focus in hardware-accelerated rendering is beginning to shift towards higher quality renderin...
Wolfgang Heidrich, Hans-Peter Seidel
ICCV
2003
IEEE
16 years 3 months ago
Two-Frame Wide Baseline Matching
This paper describes a novel approach to automatically recover corresponding feature points and epipolar geometry over two wide baseline frames. Our contributions consist of sever...
Jiangjian Xiao, Mubarak Shah
154
Voted
CVPR
2009
IEEE
16 years 9 months ago
Volterrafaces: Discriminant Analysis using Volterra Kernels
In this paper we present a novel face classification system where we represent face images as a spatial arrangement of image patches, and seek a smooth non-linear functional map...
Ritwik Kumar, Arunava Banerjee, Baba C. Vemuri