Abhinav Sood, Varsha Dogra, Gayatri Pathmanathan, Aanchal Dwivedi
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context: Accuracy of Non-Invasive structure from motion photogrammetry technique for facial data measurement analysis. aim: The purpose of the study was to calculate reliable facial anthropometric measurementsusing 3D photogrammetry and its correlation with direct measurements. materials and method: Three-dimensional facial morphometry was investigated in a sample of 40 males and 40 females with structure from motion photogrammetry technique using specific software. Subjects ranged between 18 to 40 years belonging to the Rajput community in the Arki region of Solan district Himachal Pradesh. The subjects had no history of any facial deformity and had sound dentitions. For each subject, the facial and nasal indexes were measured and compared with previous studies. statistical analysis: The SPSS version 23.0 was used to determine the difference between the mean caliper and mean photogrammetry values. results: The study shows the pervasiveness in both male and female facial types hyper-leptoprosopic (very long face)with a mean facial index of 100.76 and 96.70 respectively. The nasal index calculated for males was 90.04 and for females was 78.96. The mean values were in acceptable agreement with the literature data gathered with direct methods. The results suggest that using SfM photogrammetry for facial measurements is accurate when compared with direct anthropometry. conclusions: The technique permits the non-invasive calculation of 3D linear measurements that could be applied in the field of physical anthropology, medical and forensic science.
Sood A. Three-dimensional facial morphometric analysis: a reliability study based on facial data of North Indian population. Indian J Forensic Med Pathol. 2021;14(3 Special):529-33.
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| Received | Accepted | Published |
|---|---|---|
| July 02, 2021 | July 20, 2021 | September 30, 2021 |
Wednesday 08 July 2026, 05:32:31 (IST)
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| Received | July 02, 2021 |
| Accepted | July 20, 2021 |
| Published | September 30, 2021 |
This license enables reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator.