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ECCV
2006
Springer
14 years 6 months ago
Discovering Texture Regularity as a Higher-Order Correspondence Problem
Abstract. Understanding texture regularity in real images is a challenging computer vision task. We propose a higher-order feature matching algorithm to discover the lattices of ne...
James Hays, Marius Leordeanu, Alexei A. Efros, Yan...
SCALESPACE
2005
Springer
13 years 10 months ago
Relations Between Higher Order TV Regularization and Support Vector Regression
We study the connection between higher order total variation (TV) regularization and support vector regression (SVR) with spline kernels in a one-dimensional discrete setting. We p...
Gabriele Steidl, Stephan Didas, Julia Neumann
LICS
2006
IEEE
13 years 10 months ago
On Model-Checking Trees Generated by Higher-Order Recursion Schemes
We prove that the modal mu-calculus model-checking problem for (ranked and ordered) node-labelled trees that are generated by order-n recursion schemes (whether safe or not, and w...
C.-H. Luke Ong
ICCV
2011
IEEE
12 years 4 months ago
Optical Flow Estimation Using Learned Sparse Model
Optical flow estimation is a fundamental and ill-posed problem in computer vision. To recover a dense flow field, appropriate spatial constraints have to be enforced. Recent ad...
Kui Jia, Xiaogang Wang, Xiaoou Tang
TIP
2008
135views more  TIP 2008»
13 years 4 months ago
Nonlinear Regularized Reaction-Diffusion Filters for Denoising of Images With Textures
Denoising is always a challenging problem in natural imaging and geophysical data processing. In this paper we consider the denoising of texture images using a nonlinear reaction-...
Gerlind Plonka, Jianwei Ma