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» An Evaluation Methodology for Image Mosaicing Algorithms
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ISMAR
2009
IEEE
14 years 2 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...
CVPR
1997
IEEE
13 years 11 months ago
The FERET Evaluation Methodology for Face-Recognition Algorithms
Two of the most critical requirementsin support of producing reliableface-recognition systems are a large database of facial images and a testing procedure to evaluate systems. Th...
P. Jonathon Phillips, Hyeonjoon Moon, Patrick J. R...
CAIP
2009
Springer
14 years 1 months ago
A Methodology for Evaluating Illumination Artifact Removal for Corresponding Images
Robust stereo and optical flow disparity matching is essential for computer vision applications with varying illumination conditions. Most robust disparity matching algorithms rel...
Tobi Vaudrey, Andreas Wedel, Reinhard Klette
CVPR
2010
IEEE
13 years 4 months ago
Performance evaluation of color correction approaches for automatic multi-view image and video stitching
Many different automatic color correction approaches have been proposed by different research communities in the past decade. However, these approaches are seldom compared, so the...
Wei Xu, Jane Mulligan
IJCV
2008
106views more  IJCV 2008»
13 years 7 months ago
Evaluation of Localized Semantics: Data, Methodology, and Experiments
We present a new data set encoding localized semantics for 1014 images and a methodology for using this kind of data for recognition evaluation. This methodology establishes protoc...
Kobus Barnard, Quanfu Fan, Ranjini Swaminathan, An...