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» Hypercube Algorithms for Image Transformations
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104
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ECCV
2010
Springer
15 years 8 months ago
Fast Multi-Aspect 2D Human Detection
Abstract. We address the problem of detecting human figures in images, taking into account that the image of the human figure may be taken from a range of viewpoints. We capture ...
197
Voted
BCS
2008
15 years 4 months ago
Improved SIFT-Features Matching for Object Recognition
: The SIFT algorithm (Scale Invariant Feature Transform) proposed by Lowe [1] is an approach for extracting distinctive invariant features from images. It has been successfully app...
Faraj Alhwarin, Chao Wang, Danijela Ristic-Durrant...
ICIP
2001
IEEE
16 years 4 months ago
Faster template matching without FFT
We consider the template matching problem, in which one wants to find all good enough occurrences of a pattern template P from a larger image I. The current standard of template m...
Kimmo Fredriksson, Esko Ukkonen
ICCV
2011
IEEE
14 years 2 months ago
Fast Removal of Non-uniform Camera Shake
Camera shake leads to non-uniform image blurs. Stateof-the-art methods for removing camera shake model the blur as a linear combination of homographically transformed versions of ...
Michael Hirsch, Christian Schuler, Stefan Harmelin...
ISBI
2009
IEEE
15 years 9 months ago
Image-Driven Population Analysis Through Mixture Modeling
—We present iCluster, a fast and efficient algorithm that clusters a set of images while co-registering them using a parameterized, nonlinear transformation model. The output of...
Mert R. Sabuncu