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» Stochastic Processes in Vision: From Langevin to Beltrami
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ICCV
2001
IEEE
14 years 6 months ago
Stochastic Processes in Vision: From Langevin to Beltrami
Diffusion processes which are widely used in low level vision are presented as a result of an underlying stochastic process. The short-time non-linear diffusion is interpreted as ...
Nir A. Sochen
DSSCV
2005
Springer
13 years 10 months ago
From Stochastic Completion Fields to Tensor Voting
Abstract. Several image processing algorithms imitate the lateral interaction of neurons in the visual striate cortex V1 to account for the correlations along contours and lines. H...
Markus van Almsick, Remco Duits, Erik Franken, Bar...
DAGM
2006
Springer
13 years 6 months ago
Pose Estimation from Uncertain Omnidirectional Image Data Using Line-Plane Correspondences
Abstract. Omnidirectional vision is highly beneficial for robot navigation. We present a novel perspective pose estimation for omnidirectional vision involving a parabolic central ...
Christian Gebken, Antti Tolvanen, Gerald Sommer
ICPR
2000
IEEE
13 years 9 months ago
Stochastic Error-Correcting Parsing for OCR Post-Processing
In this paper, stochastic error-correcting parsing is proposed as a powerful and flexible method to post-process the results of an optical character recognizer (OCR). Determinist...
Juan Carlos Pérez-Cortes, Juan-Carlos Ameng...
EMMCVPR
2009
Springer
13 years 8 months ago
Complex Diffusion on Scalar and Vector Valued Image Graphs
Complex diffusion was introduced in the image processing literature as a means to achieve simultaneous denoising and enhancement of scalar valued images. In this paper, we present ...
Dohyung Seo, Baba C. Vemuri