Image derivatives

Image derivatives can be computed by using small convolution filters of size 2 x 2 or 3 x 3, such as the Laplacian, Sobel, Roberts and Prewitt… (More)
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2011
2011
Fast and reliable estimation of image derivatives is among the most fundamental tasks of low level image processing. Implicit… (More)
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Highly Cited
2009
Highly Cited
2009
In this paper we propose a novel computational method to infer visual saliency in images. The method is based on the idea that… (More)
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2009
2009
Several approaches to object recognition make extensive us e of local image information extracted in interest points, k nown as… (More)
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Highly Cited
2006
Highly Cited
2006
The aim of salient feature detection is to find distinctive local events in images. Salient features are generally determined… (More)
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Highly Cited
2003
Highly Cited
2003
The distribution of bandpass filters with localized, oriented, and bandpass characteristics applied to natural images are sharply… (More)
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Highly Cited
2002
Highly Cited
2002
Images produced by catadioptric sensors contain a significant amount of radial distortion and variation in inherent scale. Blind… (More)
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2002
2002
In thispaper we show how to calibrate a camera, mounted on a robot, with respect to the intrinsic cameraparameters when the so… (More)
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Highly Cited
2000
Highly Cited
2000
Linear parameterized models of optical flow, particularly affine models, have become widespread in image motion analysis. The… (More)
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1998
1998
In this paper it is shown how to perform hand-eye calibration using only the normal flow field and knowledge about the motion of… (More)
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Highly Cited
1997
Highly Cited
1997
A f?umeworkfor learning parumeterized models oj‘optical flow from image sequences is presented. A class of motions is represented… (More)
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