Reprodutibilidade da posição natural da cabeça em fotografias de perfil de crianças de 8 a 12 anos, com e sem o auxílio de um cefalostato

Pereira, Adriana Likes; De-Marchi, Luciana Manzotti; Scheibel, Paula Cabrini; Ramos, Adilson Luiz

doi:10.1590/s2176-94512010000100008

Cited by 3 publications

(1 citation statement)

References 19 publications

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“…To obtain the photographs (frontal and lateral) individuals were sat and, looking directly to the eyes reflected in the mirror in front of them, 6,14,30 keeping an upright and normal posture, with both arms free along the body. 9 This position corresponds to the "Broca's Natural Head Position".…”

Section: Photographsmentioning

confidence: 99%

Study of face pleasantness using facial analysis in standardized frontal photographs

Morosini

Peron

Correia³

et al. 2012

Dental Press J. Orthod.

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OBJECTIVE: The purpose of this research was to check if the numeric facial analysis can determine facial attractiveness. METHOD: The sample consisted of frontal and lateral standard facial photographs, in natural head position, of 85 Brazilian Caucasian women, without facial plastic surgery report. The sample mean age was 23 years and 9 months. A group of 5 orthodontists, 5 layman and 5 plastic artists classified the photographs according to their own attractiveness graduation in: pleasant, acceptable and not pleasant. The numeric facial analysis was then performed using a computerized method. Linear, proportional and angular measurements were compared among groups. RESULTS: According subjective analysis the sample was consisted of 18.8% of pleasant, 70.6% of acceptable and 10.6% of not pleasant. In most measurements there were no differences among groups. Just in three of them significant statistical difference was observed and in two of them the comparison value was within decision limit. All the differences found were related to the lower third of the face and to facial pattern. CONCLUSION: On the present research, the numeric facial analysis, by itself, was not capable of detecting facial attractiveness, considering that beauty judgment seems to be very personal.
OBJETIVO: esse estudo foi desenvolvido com o propósito de verificar se a análise facial numérica realizada em fotografias frontais é sensível em detectar a atratividade da face. MÉTODOS: a amostra foi composta por fotografias faciais padronizadas, frontais e laterais, em posição natural da cabeça, de 85 mulheres brasileiras, leucodermas, com idades entre 18 e 30 anos, sem histórico de cirurgia plástica facial. A idade média da amostra foi de 23 anos e 9 meses. As fotografias foram classificadas de acordo com o grau de atratividade da face por uma banca composta de cinco especialistas em Ortodontia, cinco leigos e cinco artistas plásticos. A partir dessa classificação, os indivíduos foram divididos em três grupos: esteticamente agradáveis, esteticamente aceitáveis e esteticamente desagradáveis. Em seguida, foram realizados os traçados fotométricos por meio computadorizado. As médias das variáveis lineares, proporcionais e angulares propostas foram comparadas estatisticamente entre os grupos. RESULTADOS: pela análise subjetiva, 18,8% da amostra foram classificados como esteticamente desagradáveis, 70,6% como esteticamente aceitáveis e 10,6% como esteticamente agradáveis. Na maioria das variáveis, não observou-se diferenças entre os grupos. Em apenas três delas houve diferenças estatisticamente significativas. Todas as diferenças encontradas relacionaram-se ao terço inferior da face e ao padrão facial. CONCLUSÃO: no presente estudo, a análise facial numérica utilizada isoladamente não foi sensível na detecção de padrões de atratividade, já que os critérios de beleza parecem ser altamente subjetivos

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Section: Photographsmentioning

confidence: 99%

Study of face pleasantness using facial analysis in standardized frontal photographs

Morosini

Peron

Correia³

et al. 2012

Dental Press J. Orthod.

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Silicone key device for maxilla orientation and occlusal plane recording in a digital workflow

Caponi

Taha

Gutiérrez

et al. 2023

The Journal of Prosthetic Dentistry

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Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge

Wang

Huang

Hsieh

et al. 2015

IEEE Trans. Med. Imaging

145

110

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Cephalometric analysis is an essential clinical and research tool in orthodontics for the orthodontic analysis and treatment planning. This paper presents the evaluation of the methods submitted to the Automatic Cephalometric X-Ray Landmark Detection Challenge, held at the IEEE International Symposium on Biomedical Imaging 2014 with an on-site competition. The challenge was set to explore and compare automatic landmark detection methods in application to cephalometric X-ray images. Methods were evaluated on a common database including cephalograms of 300 patients aged six to 60 years, collected from the Dental Department, Tri-Service General Hospital, Taiwan, and manually marked anatomical landmarks as the ground truth data, generated by two experienced medical doctors. Quantitative evaluation was performed to compare the results of a representative selection of current methods submitted to the challenge. Experimental results show that three methods are able to achieve detection rates greater than 80% using the 4 mm precision range, but only one method achieves a detection rate greater than 70% using the 2 mm precision range, which is the acceptable precision range in clinical practice. The study provides insights into the performance of different landmark detection approaches under real-world conditions and highlights achievements and limitations of current image analysis techniques.

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Reprodutibilidade da posição natural da cabeça em fotografias de perfil de crianças de 8 a 12 anos, com e sem o auxílio de um cefalostato

Cited by 3 publications

References 19 publications

Study of face pleasantness using facial analysis in standardized frontal photographs

Study of face pleasantness using facial analysis in standardized frontal photographs

Silicone key device for maxilla orientation and occlusal plane recording in a digital workflow

Evaluation and Comparison of Anatomical Landmark Detection Methods for Cephalometric X-Ray Images: A Grand Challenge

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