2015
DOI: 10.1109/msp.2015.2410783
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Computerized Face Recognition in Renaissance Portrait Art: A quantitative measure for identifying uncertain subjects in ancient portraits

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Cited by 13 publications
(2 citation statements)
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“…Portrait Feature Space (PFS) was utilized to measure the similarities between pairs of Renaissance portraits that are known to represent the same or different subjects. Using statistical hypothesis tests, the researchers analysed portraits where the identities were uncertain and explained the significance of the results from an art historian's perspective [22]. Gupta et al 2018, made significant improvements over baselines and state-of-the-art methods on various examples that were identified by art historians as being very controversial.…”
Section: Literature Review On Facial Similarity Assessmentmentioning
confidence: 99%
“…Portrait Feature Space (PFS) was utilized to measure the similarities between pairs of Renaissance portraits that are known to represent the same or different subjects. Using statistical hypothesis tests, the researchers analysed portraits where the identities were uncertain and explained the significance of the results from an art historian's perspective [22]. Gupta et al 2018, made significant improvements over baselines and state-of-the-art methods on various examples that were identified by art historians as being very controversial.…”
Section: Literature Review On Facial Similarity Assessmentmentioning
confidence: 99%
“…It was used the Portrait Feature Space (PFS) to quantitative measures of similarities between Renaissance portrait pairs known to represent same/different sitters. Through statistical hypothesis tests were analyze uncertain portraits against known identities and explain the significance of the results from an art historian's perspective [12]. Gupta and alli, in 2018, developed significant improvement over baselines and state-of-art methods on several examples which are identified by art historians as being very controversial.…”
Section: State-of-art Of Face Recognationmentioning
confidence: 99%