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» Application of Level Set Methods in Computer Vision
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ICPR
2008
IEEE
16 years 1 months ago
Clustering-based locally linear embedding
The locally linear embedding (LLE) algorithm is considered as a powerful method for the problem of nonlinear dimensionality reduction. In this paper, first, a new method called cl...
Kanghua Hui, Chunheng Wang
ICCV
2009
IEEE
17 years 6 days ago
Body-Relative Navigation Guidance Using Uncalibrated Cameras
We present a vision-based method that assists human navigation within unfamiliar environments. Our main contribution is a novel algorithm that learns the correlation between use...
Olivier Koch, Seth Teller
CVPR
1998
IEEE
16 years 9 months ago
Clustering Appearances of 3D Objects
We introduce a method for unsupervised clustering of images of 3D objects. Our method examines the space of all images and partitions the images into sets that form smooth and par...
Ronen Basri, Dan Roth, David W. Jacobs
ICCV
2005
IEEE
16 years 9 months ago
On the Equivalence of Common Approaches to Lighting Insensitive Recognition
Lighting variation is commonly handled by methods invariant to additive and multiplicative changes in image intensity. It has been demonstrated that comparing images using the dir...
Margarita Osadchy, David W. Jacobs, Michael Linden...
ICCV
2003
IEEE
16 years 9 months ago
Globally Convergent Autocalibration
Existing autocalibration techniques use numerical optimization algorithms that are prone to the problem of local minima. To address this problem, we have developed a method where ...
Arrigo Benedetti, Alessandro Busti, Michela Farenz...