COMPACT: biometric dataset of face images acquired in uncontrolled indoor environment

• Autorzy: Włodarczyk Michał , Kacperski Damian , Sankowski Wojciech , Grabowski Kamil

Identyfikatory

DOI

10.7494/csci.2019.20.1.3020

• Języki publikacji: EN

Abstrakty

EN

Biometric databases are important components that help improve the performanceof state-of-the-art recognition applications. The availability of more andmore challenging data is attracting the attention of researchers, who are systematicallydeveloping novel recognition algorithms and increasing the accuracyof identification. Surprisingly, most of the popular face datasets (like LFW orIJBA) are not fully unconstrained. The majority of the available images werenot acquired on-the-move, which reduces the amount of blurring that is causedby motion or incorrect focusing. Therefore, the COMPACT database for studyingless-cooperative face recognition is introduced in this paper. The datasetconsists of high-resolution images of 108 subjects acquired in a fully automatedmanner as people go through the recognition gate. This ensures that the collecteddata contains real-world degradation factors: different distances, expressions,occlusions, pose variations, and motion blur. Additionally, the authorsconducted a series of experiments that verified the face-recognition performanceon the collected data.

Słowa kluczowe

EN

biometrics; face recognition; face database; less-cooperative identification

• Wydawca: Wydawnictwa AGH
• Czasopismo: Computer Science
• Rocznik: 2019
• Tom: Vol. 20 (1)
• Strony: 3--26
• Opis fizyczny: Bibliogr. 37 poz., rys., tab.

Twórcy

autor

Włodarczyk Michał

• Lodz University of Technology, Wolczanska 221/223, 90-924 Lodz, Poland

autor

Kacperski Damian

• Lodz University of Technology, Wolczanska 221/223, 90-924 Lodz, Poland

autor

Sankowski Wojciech

• Lodz University of Technology, Wolczanska 221/223, 90-924 Lodz, Poland

autor

Grabowski Kamil

• Lodz University of Technology, Wolczanska 221/223, 90-924 Lodz, Poland

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