Abstract
Abstract. 3D digitisation has been applied in different application domains. Due to the continuous growing interest, commercial and experimental 3D acquisition systems have evolved. Nevertheless, there isn't an all-in-one solution, thus there is a need for combining different technologies in order to exploit the advantages of each approach. In this paper, we present a solution to a specific problem related to the combination of 3D data resulted from a non-colour laser triangulation scanner and a shape-fromsilhouette system. Our approach combines the data of these two 3D acquisition systems in order to produce a hybrid 3D mesh model with the geometric accuracy and detail captured by the laser scanner and the high resolution textural information of the shape-fromsilhouette system. We propose an algorithm that is based on virtual photo shooting and an inverse texture map projection phase. We present an example of our algorithm’s operation on exchanging the texture maps of a replica artefact which has been digitised by both systems.
Highlights
In this paper, we present an algorithm that combines two different-in-principle 3D scanning systems in order to produce 3D meshes that reflect only the advantages of each approach
SOM ) are utilised in order to produce a 3D mesh model which reflects the geometrical accuracy provided by a laser scanner and the texture map quality captured by modern digital cameras
The Low Complexity Model (LCM) model is composed by 16.960 triangles (8.482 vertices) while the High Complexity Model (HCM) model consists of 203.730 triangles (101.857 vertices)
Summary
We present an algorithm that combines two different-in-principle 3D scanning systems in order to produce 3D meshes that reflect only the advantages of each approach. This combination can be considered as an attempt to expand both systems’ life-cycle by introducing a method of data merging. The algorithm is based on a virtual photoshooting session of the shape-from-silhouette model in order to extract the texture information into a set of images Those images are inverse-projected back on the initially texture-less 3D mesh derived from the laser scanner. We conclude with remarks regarding the evolution of our approach
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