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» Linear Multi View Reconstruction with Missing Data
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ICASSP
2011
IEEE
12 years 8 months ago
Evaluating music sequence models through missing data
Building models of the structure in musical signals raises the question of how to evaluate and compare different modeling approaches. One possibility is to use the model to impute...
Thierry Bertin-Mahieux, Graham Grindlay, Ron J. We...
ECCV
2000
Springer
14 years 6 months ago
A Six Point Solution for Structure and Motion
The paper has two main contributions: The rst is a set of methods for computing structure and motion for m 3 views of 6 points. It is shown that a geometric image error can be mini...
Frederik Schaffalitzky, Andrew Zisserman, Richard ...
WSOM
2009
Springer
13 years 11 months ago
Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database
Abstract. This paper presents a new methodology for missing value imputation in a database. The methodology combines the outputs of several Self-Organizing Maps in order to obtain ...
Antti Sorjamaa, Francesco Corona, Yoan Miche, Paul...
ICCV
2011
IEEE
12 years 5 months ago
Multi-View 3D Reconstruction for Scenes under the Refractive Plane with Known Vertical Direction
Images taken from scenes under water suffer distortion due to refraction. While refraction causes magnification with mild distortion on the observed images, severe distortions in...
Yao-Jen Chang, Tsuhan Chen
ECCV
2010
Springer
13 years 8 months ago
Practical Methods For Convex Multi-View Reconstruction
Globally optimal formulations of geometric computer vision problems comprise an exciting topic in multiple view geometry. These approaches are unaffected by the quality of a provid...