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3D Face Recognition For Cows
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Text/Conference Paper
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Datum
2020
Autor:innen
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Verlag
Gesellschaft für Informatik e.V.
Zusammenfassung
This paper presents a method to recognize cows using their 3D face point clouds. Face
is chosen because of the rigid structure of the skull compared to other parts. The 3D face point
clouds are acquired using a newly designed dual 3D camera setup. After registering the 3D faces to
a specific pose, the cow’s ID is determined by running Iterative Closest Point (ICP) method on the
probe against all the point clouds in the gallery. The root mean square error (RMSE) between the
ICP correspondences is used to identify the cows. The smaller the RMSE, the more likely that the
cow is from the same class. In a closed set of 32 cows with 5 point clouds per cow in the gallery, the
ICP recognition demonstrates an almost perfect identification rate of 99.53%.