Abstract
Abstract. This article presents the evaluation of a pipeline to develop a high-quality texture mapping implementation which makes it possible to carry out a semantic high-quality 3D textured model. Due to geometric errors such as camera parameters or limited image resolution or varying environmental parameters, the calculation of a surface texture from 2D images could present several color errors. And, sometimes, it needs adjustments to the RGB or lightness information on a defined part of the texture. The texture mapping procedure is composed of mesh parameterization, mesh partitioning, mesh segmentation unwraps, UV map and projection of island, UV layout optimization, mesh packing and mesh baking. The study focuses attention to the mesh partitioning that essentially assigns a weight to each mesh, which reveals a mesh’s weight calculated by considering the flatness and distance of the mesh with respect to a chart. The 3D texture mapping has been developed in Blender and implemented in Python. In this paper we present a flowchart that resumes the procedure which aims to achieve a high-quality mesh and texture 3D model starting from the 3D Spider acquire, integrated with the SfM texture and using the texture mapping to reduce the color errors according to a semantic interpretation.
Highlights
In the last years, there has been an increasing use of digital techniques aimed at conservation, restoration and dissemination purposes
The Image-Based Modeling (IBM) pipeline allows obtaining, in a few steps a higher quality 3D textured model of real objects but these feature a lower precision of the polygonal mesh
The camera model and calibration method used to estimate the camera parameters might yield additional errors in the position and orientation of the object images. These errors, combined with errors caused by the texture mapping process, might lead to discrepancies between the texture of the 3D model and the real object
Summary
There has been an increasing use of digital techniques aimed at conservation, restoration and dissemination purposes. Texture quality is a crucial issue to investigations in the field of the Cultural Heritage These new survey tools show some deficiencies and discrepancies, so much as to require an integration between different techniques. The camera model and calibration method used to estimate the camera parameters might yield additional errors in the position and orientation of the object images. These errors, combined with errors caused by the texture mapping process, might lead to discrepancies between the texture of the 3D model and the real object. Once the highest quality 3D texture is obtained it will be possible to associate the new texture to the laser-scanned 3D model. The pipeline has been tested on a small object to verify its reliability (a small Russian matryoshka with a matte surface was used to avoid the problems due to the reflective materials) but, once tested, the pipeline has been applied at three different art ancient objects from the Archaeological Museum Salinas of Palermo
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
