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ICCV
2007
IEEE
15 years 4 months ago
Scale-Dependent 3D Geometric Features
Three-dimensional geometric data play fundamental roles in many computer vision applications. However, their scale-dependent nature, i.e. the relative variation in the spatial ext...
John Novatnack, Ko Nishino
ICCV
2005
IEEE
15 years 3 months ago
Integrating the Effects of Motion, Illumination and Structure in Video Sequences
Most work in computer vision has concentrated on studying the individual effects of motion and illumination on a 3D object. In this paper, we present a theory for combining the ef...
Yilei Xu, Amit K. Roy Chowdhury
ICCV
2003
IEEE
15 years 3 months ago
Meshfree Particle Method
Many of the computer vision algorithms have been posed in various forms of differential equations, derived from minimization of specific energy functionals, and the finite eleme...
Huafeng Liu, Pengcheng Shi
ECCV
2010
Springer
15 years 3 months ago
Guided Image Filtering
Abstract. In this paper, we propose a novel type of explicit image filter - guided filter. Derived from a local linear model, the guided filter generates the filtering output b...
SCALESPACE
2001
Springer
15 years 2 months ago
Gaussian Convolutions. Numerical Approximations Based on Interpolation
Abstract. Gaussian convolutions are perhaps the most often used image operators in low-level computer vision tasks. Surprisingly though, there are precious few articles that descri...
Rein van den Boomgaard, Rik van der Weij