Video Recordings of Male Face and Neck Movements for Facial Recognition and Other Purposes

Collin Gros and Jeremy Straub
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Collin Gros: Department of Computer Science, Texas Tech University, Lubbock, TX 79409, USA
Jeremy Straub: Department of Computer Science, North Dakota State University, Fargo, ND 58108, USA

Data, 2019, vol. 4, issue 3, 1-6

Abstract: Facial recognition is made more difficult by unusual facial positions and movement. However, for many applications, the ability to accurately recognize moving subjects with movement-distorted facial features is required. This dataset includes videos of multiple subjects, taken under multiple lighting brightness and temperature conditions, which can be used to train and evaluate the performance of facial recognition systems.

Keywords: facial recognition; males; video recordings; face and neck movement; human recognition (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2019
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