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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Collin Gros & Jeremy Straub, 2019. "Video Recordings of Male Face and Neck Movements for Facial Recognition and Other Purposes," Data, MDPI, vol. 4(3), pages 1-6, September.
    • Handle: RePEc:gam:jdataj:v:4:y:2019:i:3:p:130-:d:264974
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    References listed on IDEAS

    as
    1. Collin Gros & Jeremy Straub, 2019. "A Dataset for Comparing Mirrored and Non-Mirrored Male Bust Images for Facial Recognition," Data, MDPI, vol. 4(1), pages 1-10, February.
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