2019
DOI: 10.1016/j.diin.2019.07.008
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Automatic cephalometric landmarks detection on frontal faces: An approach based on supervised learning techniques

Abstract: Facial landmarks are employed in many research areas such as facial recognition, craniofacial identification, age and sex estimation among the most important.In the forensic field, the focus is on the analysis of a particular set of facial landmarks, defined as cephalometric landmarks. Previous works demonstrated that the descriptive adequacy of these anatomical references for an indirect application (photo-anthropometric description) increased the marking precision of these points, contributing to a greater r… Show more

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Cited by 18 publications
(8 citation statements)
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“…21 Machine learning is the core of artificial intelligence, and all supervised learning methods and matrix decomposition algorithms can be expressed through machine language, such as Python, C + + , and Java. 22 In contrast to the traditional data completion methods, machine learning model realizes high precision and efficiency through machine learning. 23 However, there is limited research about the application of data augmentation in civil engineering.…”
Section: Introductionmentioning
confidence: 99%
“…21 Machine learning is the core of artificial intelligence, and all supervised learning methods and matrix decomposition algorithms can be expressed through machine language, such as Python, C + + , and Java. 22 In contrast to the traditional data completion methods, machine learning model realizes high precision and efficiency through machine learning. 23 However, there is limited research about the application of data augmentation in civil engineering.…”
Section: Introductionmentioning
confidence: 99%
“…However, her work remains largely unrecognized even though it exemplifies the types of problem-and-dataset-driven questions faced by bioarchaeologists. This discrepancy persists despite the promise for bioarchaeological machine learning applications for predicting sex, age, ancestry, body mass, and stature in forensic anthropology, radiography, and anatomy [23][24][25][26][27][28][29][30][31]. Even less bioarchaeological research has focused on missing data imputation [32].…”
Section: Introductionmentioning
confidence: 99%
“…Manacorda & Asurmendi, ). Automated landmarking has become the gold standard in human facial landmarking for both biomedicine (Porto et al, ) and, more notoriously, social networking websites and software developed for mobile phones (Kazemi & Sullivan, ). Its application in geometric morphometrics has, however, remained restricted, likely due to technical barriers, such as non‐overlapping software traditions (but see Manacorda & Asurmendi, ; Vandaele et al, ).…”
Section: Introductionmentioning
confidence: 99%