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SIBGRAPI
2008
IEEE
14 years 5 months ago
Benchmark for Quantitative Evaluation of Assisted Object Segmentation Methods to Image Sequences
Evaluation of segmentation methods applied to image sequences consists in the analysis of such methods according to quantitative and/or qualitative criteria, usually driven to som...
Franklin César Flores, Roberto de Alencar L...
ICPR
2008
IEEE
14 years 5 months ago
Specularity removal and relighting of 3D object model for virtual exhibition
To create photorealistic three-dimensional (3D) model of real objects is a challenging computer vision problem. While there are methods for 3D digitization of objects with high ge...
Shu-Kam Chow, Kwok-Leung Chan
ISVC
2009
Springer
14 years 6 months ago
Optical Flow Computation from an Asynchronised Multiresolution Image Sequence
We develop a method for the optical flow computation from a zooming image sequence. The synchronisation of image resolution for a pair of successive images in an image sequence is...
Yusuke Kameda, Naoya Ohnishi, Atsushi Imiya, Tomoy...
ISMAR
2009
IEEE
14 years 6 months ago
A dataset and evaluation methodology for template-based tracking algorithms
Unlike dense stereo, optical flow or multi-view stereo, templatebased tracking lacks benchmark datasets allowing a fair comparison between state-of-the-art algorithms. Until now,...
Sebastian Lieberknecht, Selim Benhimane, Peter Geo...
ICIAP
2003
ACM
14 years 11 months ago
Dense 3D interpretation of image sequences: a variational approach using anisotropic diffusion
The purpose of this study is to investigate a new method for recovering relative depth and 3D motion from a temporal sequence of monocular images. The method is direct insomuch as...
Hicham Sekkati, Amar Mitiche
ICIP
1998
IEEE
15 years 29 days ago
Image Sequence Analysis and Segmentation using G-blobs
This paper introduces a new generalisation of the familiar scale-space and wavelet representations, designed specifically to deal with the complexities of representing motions ind...
Andrew Calway, Peter Meulemans, Roland G. Wilson, ...
ICCV
1999
IEEE
15 years 1 months ago
Optimal Filters for Gradient-based Motion Estimation
Gradient based approaches for motion estimation (Optical-Flow) estimate the motion of an image sequence based on local changes in the image intensities. In order to best evaluate ...
Michael Elad, Patrick C. Teo, Yacov Hel-Or
ICCV
2005
IEEE
15 years 1 months ago
A Stochastic Filter for Fluid Motion Tracking
In this paper we present a method for the tracking of fluid flows velocity fields. The technique we propose is formalized within sequential Bayesian filter framework. The filter w...
Anne Cuzol, Étienne Mémin
CVPR
2004
IEEE
15 years 1 months ago
Radiometric Alignment of Image Sequences
Color values in an image are related to image irradiance by a nonlinear function called radiometric response function. Since this function depends on the aperture and the shutter ...
Seon Joo Kim, Marc Pollefeys