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» Graph-Theoretical Methods in Computer Vision
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ICCV
2011
IEEE
14 years 6 months ago
Handling Outliers in Non-Blind Image Deconvolution
Non-blind deconvolution is a key component in image deblurring systems. Previous deconvolution methods assume a linear blur model where the blurred image is generated by a linear ...
Sunghyun Cho, Jue Wang, Seungyong Lee
ISMAR
2006
IEEE
16 years 24 days ago
Hybrid tracking algorithms for planar and non-planar structures subject to illumination changes
Augmented Reality (AR) aims to fuse a virtual world and a real one in an image stream. When considering only a vision sensor, it relies on registration techniques that have to be ...
Muriel Pressigout, Éric Marchand
ICVGIP
2004
15 years 8 months ago
Use of Linear Diffusion in Depth Estimation Based on Defocus Cue
Diffusion has been used extensively in computer vision. Most common applications of diffusion have been in low level vision problems like segmentation and edge detection. In this ...
Vinay P. Namboodiri, Subhasis Chaudhuri
CVPR
2006
IEEE
16 years 8 months ago
When Fisher meets Fukunaga-Koontz: A New Look at Linear Discriminants
The Fisher Linear Discriminant (FLD) is commonly used in pattern recognition. It finds a linear subspace that maximally separates class patterns according to Fisher's Criteri...
Sheng Zhang, Terence Sim
ICCV
2011
IEEE
14 years 6 months ago
Real-time Indoor Scene Understanding using Bayesian Filtering with Motion Cues
We present a method whereby an embodied agent using visual perception can efficiently create a model of a local indoor environment from its experience of moving within it. Our me...
Grace Tsai, Changhai Xu, Jingen Liu, Benjamin Kuip...