Photogrammetry for 3D Reconstruction of Objects: Effects of Geometry, Texture and Photographing

Abstract

Today, the use of 3D scanning methods is increasing in a wide range of industries from biomedical to game production. The photogrammetry method is in demand by 3D scanning users due to its portability, photorealistic textured modeling, and low cost. Scanned objects vary according to industries and can have various materials, geometries and textures. In order to better benefit from the advantages of the photogrammetry method, it is necessary to know the response of the method against different parameters. Unlike the studies in the literature, in this study, many objects with various geometries, different materials and textures were reconstructed and evaluated by using the same equipment and workflow in the same environment, and thus a fair evaluation was performed for various factors affecting the reconstruction process. In this context, 24 differently shaped objects with metal, fabric, plastic, wood, glass, ceramic and organic textures were reconstructed. A comprehensive evaluation was conducted on the solid and textured models generated from the objects. In addition to the effects of object geometry, texture properties, photo shooting angle and distance, it also sought answers to questions about factors affecting the accuracy and mesh quality of the 3D models. In this study, it is possible to find some recent specific results and validated general results together related to photogrammetric modeling.

Unexpected corneal reflection phenomenon alters smartphone 3D image-based models of the eye

“…Modelling a transparent structure can be difficult, the camera may not be able to accurately capture the surface and edges of such structures, surrounding objects may be reflected on it, which cannot be avoided during normal user imaging in non-experimental conditions. Problems with 3D modelling of transparent objects using photogrammetry are also described by Surmen [22]. He recommends covering the modelled surfaces of such objects with matting spray or powder, but this is not possible to use on the eye.…”

“…Photogrammetry uses methods of recording, measuring and interpreting information about 3D objects from photographic images [21]. On the basis of photogrammetry, 3D image-based model is created based on the photos taken from different angles [22]. Computer vision focuses on detecting, grouping, and extracting features (edges, faces, etc.)…”