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Multi-view Stereo Correspondence (MSC) dataset

The Multi-view Stereo Correspondence (MSC) dataset consists of more than 1.5M grayscale patches derived from images of the Statue of Liberty, Notredame, and Yosemite, with positive and negative patch pairs used for training a CNN-based image descriptor for patch matching.

Data and Resources

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Cite this as

G. Hua, M. Brown, S. Winder (2024). Dataset: Multi-view Stereo Correspondence (MSC) dataset. https://doi.org/10.57702/whu55j86

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field	Value
Created	November 25, 2024
Last update	November 25, 2024
Defined In	https://doi.org/10.48550/arXiv.1710.11359
Author	G. Hua
More Authors	M. Brown S. Winder