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» Application of Level Set Methods in Computer Vision
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ACIVS
2006
Springer
16 years 1 months ago
Motion Blur Concealment of Digital Video Using Invariant Features
This paper deals with concealment of motion blur in image sequences. The approach is different from traditional methods, which attempt to deblur the image. Our approach utilizes t...
Ville Ojansivu, Janne Heikkilä
CLOR
2006
15 years 11 months ago
Comparison of Generative and Discriminative Techniques for Object Detection and Classification
Many approaches to object recognition are founded on probability theory, and can be broadly characterized as either generative or discriminative according to whether or not the dis...
Ilkay Ulusoy, Christopher M. Bishop
ICPR
2010
IEEE
15 years 10 months ago
Fast Seamless Skew and Orientation Detection in Document Images
Reliable and generic methods for skew detection are a necessity for any large-scale digitization projects. As one of the first processing steps, skew detection and correction has...
Iuliu Vasile Konya, Stefan Eickeler, Christoph Sei...
BMVC
2001
15 years 10 months ago
An EM-like Algorithm for Motion Segmentation via Eigendecomposition
This paper presents an iterative maximum likelihood framework for motion segmentation via the pairwise checking of pixel blocks. We commence from a characterisation of the motion ...
Antonio Robles-Kelly, Edwin R. Hancock
153
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ICPR
2010
IEEE
15 years 8 months ago
Binary Representations of Fingerprint Spectral Minutiae Features
A fixed-length binary representation of a fingerprint has the advantages of a fast operation and a small template storage. For many biometric template protection schemes, a binary...
Haiyun Xu, Raymond Veldhuis