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Object tracking: A survey
The goal of this article is to review the state-of-the-art tracking methods, classify them into
different categories, and identify new trends. Object tracking, in general, is a challenging …
different categories, and identify new trends. Object tracking, in general, is a challenging …
Deformable models in medical image analysis: a survey
This article surveys deformable models, a promising and vigorously researched computer-
assisted medical image analysis technique. Among model-based techniques, deformable …
assisted medical image analysis technique. Among model-based techniques, deformable …
[KIRJA][B] Level set methods and fast marching methods
JA Sethian - 1999 - hrcak.srce.hr
Thebookgivesanoverviewoftheauthor'swork on theory and numerics of propagating
interfaces, which began in his dissertation. Propagating interfaces are everywhere around …
interfaces, which began in his dissertation. Propagating interfaces are everywhere around …
" GrabCut" interactive foreground extraction using iterated graph cuts
The problem of efficient, interactive foreground/background segmentation in still images is of
great practical importance in image editing. Classical image segmentation tools use either …
great practical importance in image editing. Classical image segmentation tools use either …
Snakes, shapes, and gradient vector flow
Snakes, or active contours, are used extensively in computer vision and image processing
applications, particularly to locate object boundaries. Problems associated with initialization …
applications, particularly to locate object boundaries. Problems associated with initialization …
Fast marching methods
JA Sethian - SIAM review, 1999 - SIAM
Fast Marching Methods are numerical schemes for computing solutions to the nonlinear
Eikonal equation and related static Hamilton--Jacobi equations. Based on entropy-satisfying …
Eikonal equation and related static Hamilton--Jacobi equations. Based on entropy-satisfying …
Turbopixels: Fast superpixels using geometric flows
We describe a geometric-flow-based algorithm for computing a dense oversegmentation of
an image, often referred to as superpixels. It produces segments that, on one hand, respect …
an image, often referred to as superpixels. It produces segments that, on one hand, respect …
[KIRJA][B] Mathematical problems in image processing: partial differential equations and the calculus of variations
G Aubert, P Kornprobst - 2006 - Springer
Mathematical Problems in Image Processing: Partial Differential Equations and the Calculus
of Variations | SpringerLink Skip to main content Advertisement Springer Nature Link Account …
of Variations | SpringerLink Skip to main content Advertisement Springer Nature Link Account …
Robust noise region-based active contour model via local similarity factor for image segmentation
Image segmentation using a region-based active contour model could present difficulties
when its noise distribution is unknown. To overcome this problem, this paper proposes a …
when its noise distribution is unknown. To overcome this problem, this paper proposes a …
[HTML][HTML] A survey of identity recognition via data fusion and feature learning
With the rapid development of the Mobile Internet and the Industrial Internet of Things, a
variety of applications put forward an urgent demand for user and device identity …
variety of applications put forward an urgent demand for user and device identity …