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» Application of Level Set Methods in Computer Vision
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ECCV
2010
Springer
15 years 11 months ago
Accurate Image Localization Based on Google Maps Street View
Abstract. Finding an image’s exact GPS location is a challenging computer vision problem that has many real-world applications. In this paper, we address the problem of finding ...
CVPR
2009
IEEE
17 years 2 months ago
Planar Orientation from Blur Gradients in a Single Image
We present a focus-based method to recover the orientation of a textured planar surface patch from a single image. The method exploits the relationship between the orientation o...
Michael S. Langer, Scott McCloskey
ICPR
2002
IEEE
16 years 8 months ago
Chinese Character Recognition via Gegenbauer Moments
Moment features have been applied in pattern recognition systems since the moment method was developed. In this paper, a set of moment features extracted from the newly developed ...
Simon X. Liao, Amy Chiang, Qin Lu, Miroslaw Pawlak
ACCV
2010
Springer
15 years 2 months ago
An Efficient RANSAC for 3D Object Recognition in Noisy and Occluded Scenes
In this paper, we present an efficient algorithm for 3D object recognition in presence of clutter and occlusions in noisy, sparse and unsegmented range data. The method uses a robu...
Chavdar Papazov, Darius Burschka
BMVC
2010
15 years 5 months ago
Sparse Sparse Bundle Adjustment
Sparse Bundle Adjustment (SBA) is a method for simultaneously optimizing a set of camera poses and visible points. It exploits the sparse primary structure of the problem, where c...
Kurt Konolige