Face parts importance in face and expression recognition

Lóderer, Marek; Pavlovičová, Jarmila; Oravec, Milos; Mazanec, Jan

doi:10.1109/iwssip.2015.7314208

Cited by 1 publication

(1 citation statement)

References 22 publications

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“…Their results showed that eyebrows are a promising biometric for identifying people. Furthermore, Ahonen et al (2004), Caifeng et al (2005), Nikisins andGreitans (2012), andLoderer et al (2015) analyzed the importance of the area (blocked-based area) of the face for recognition or detection using LBP. In detail, Lestriandoko et al (2019) also compared the discriminative area of LBP between the clear dataset and the dataset containing face expression.…”

Section: Related Workmentioning

confidence: 99%

The contribution of different face parts to deep face recognition

Lestriandoko

Veldhuis

Spreeuwers

2022

Front. Comput. Sci.

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The development of face recognition improvements still lacks knowledge on what parts of the face are important. In this article, the authors present face parts analysis to obtain important recognition information in a certain area of the face, more than just the eye or eyebrow, from the black box perspective. In addition, the authors propose a more advanced way to select parts without introducing artifacts using the average face and morphing. Furthermore, multiple face recognition systems are used to analyze the face component contribution. Finally, the results show that the four deep face recognition systems produce a different behavior for each experiment. However, the eyebrows are still the most important part of deep face recognition systems. In addition, the face texture played an important role deeper than the face shape.

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