Recommendations for improving photo quality in close range photogrammetry

Identificador:  imarina:9285567

Handle: https://hdl.handle.net/20.500.11797/imarina9285567

Autores:  Bucchi, Ana; Luengo, Javier; Fuentes, Ramon; Arellano-Villalon, Manuel; Lorenzo, Carlos

Resumen:
Photogrammetry is becoming increasingly popular in morphological research and teaching due to its portability, ability to reliably render 3D models, and quality-to-price relationship relative to some popular surface scanners. Compared to surface scanners, however, the learning process in photogrammetry can be very time consuming. Here we describe common mistakes of photo capture in close-range photogrammetry that greatly affect 3D output and tips to improve them. Problems were identified after the 3D model construction of 780 hand bones of chimpanzees and gorillas from museum collections. Their hands are composed of 27 bones which vary in length and complexity. We show how lighting, object position and orientation, camera angle, and background affect the 3D output. By taking these factors into account, time and error rates for beginners can be greatly reduced and 3D model quality can be considerably improved. © 2020, Universidad de la Frontera. All rights reserved.