KEYWORDS: 3D modeling, Scanners, 3D acquisition, Solid modeling, Sensors, Model-based design, Computer aided design, 3D image processing, Data modeling, 3D scanning
This paper presents a simulation of automatic 3D acquisition and post-processing pipeline. The proposed methodology
is applied to a LASER triangulation based scanner and a 6 degrees of freedom (DOF) robotic arm simulation.
The viewpoints are computed by solving a set covering problem to reduce the number of potential
positions. The quality of the view plan is determined by its length and the percentage of area of the object's
surface it covers. Results are presented and discussed on various shapes. The article also presents future work
concerning the implementation of the proposed method on a real system.
KEYWORDS: 3D modeling, 3D acquisition, 3D scanning, Mathematical modeling, Error analysis, 3D metrology, Edge detection, Manufacturing, Data modeling, Prototyping
In this paper, we are interested in accurate acquisition and modeling of flint artefacts. Archaeologists needs accurate
geometry measurements to refine their understanding of the flint artefacts manufacturing process. Current techniques
require several operations. First, a copy of a flint artefact is reproduced. The copy is then sliced. A picture is taken for
each slice. Eventually, geometric information is manually determined from the pictures. Such a technique is very time
consuming, and the processing applied to the original, as well as the reproduced object, induces several measurement
errors (prototyping approximations, slicing, image acquisition, and measurement). By using 3D scanners, we
significantly reduce the number of operations related to data acquisition and completely suppress the prototyping step to
obtain an accurate 3D model. The 3D models are segmented into sliced parts that are then analyzed. Each slice is then
automatically fitted by mathematical representation. Such a representation offers several interesting properties:
geometric features can be characterized (e.g. shapes, curvature, sharp edges, etc), and a shape of the original piece of
stone can be extrapolated. The contributions of this paper are an acquisition technique using 3D scanners that strongly reduces human intervention, acquisition time and measurement errors, and the representation of flint artefacts as mathematical 2D sections that enable accurate analysis.
Most of the automation for 3D acquisition concerns objects with simple shape, like mechanical parts. For cultural
heritage artefacts, the process is more complex, and it doesn't exist general solution nowadays. This paper presents a
method to generate a complete 3D model of cultural heritage artefacts. In a first step, MVC is used to solve the view
planning problem. Then, holes remaining in 3D model are detected, and their features are calculated to finish acquisition.
Different post-processing are applied on each view to increase quality of the 3D model. This procedure has been tested
with simulated scanner, before being implemented on a motion system with five degrees of freedom.
KEYWORDS: 3D modeling, 3D acquisition, Scanners, Cultural heritage, Data modeling, Motion models, 3D scanning, Sensors, Data acquisition, Optical spheres
Most of the automation for 3D acquisition concerns objects with simple shape, like mechanical parts. For cultural
heritage artefacts, the process is more complex, and it doesn't exist general solution nowadays. This paper presents a
method to generate a complete 3D model of cultural heritage artefacts. In a first step, MVC is used to solve the view
planning problem. Then, holes remaining in 3D model are detected, and their features are calculated to finish acquisition.
Different post-processing are applied on each view to increase quality of the 3D model. This procedure has been tested
with simulated scanner, before being implemented on a motion system with five degrees of freedom.
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