3D Point Cloud Completion from 2.5D Data

Bachelor thesis (2022)

Authors

T.I. Buijs Electrical Engineering, Mathematics and Computer Science

Contributors

H.J.C. Kroep Electrical Engineering, Mathematics and Computer Science (supervisor 1)
Ranga Rao Venkatesha Prasad Embedded Systems - EEMCS (supervisor 1)
S. Roos Data-Intensive Systems - EEMCS (supervisor 2)
Faculty
Electrical Engineering, Mathematics and Computer Science
Copyright: © 2022 Teun Buijs
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Published Date

23-06-2022

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Abstract

The tactile internet can be described as the next step of the internet. It can empower people, adding physical interactions to what normally is just an audiovisual experience.
It however does need ultra-low latency.
A solution to having delays can be found in environment simulation.
This paper describes a way to find the correct shape of objects within the observed environment.
There already are AI-based approaches, but the problem is that they are not transparent in how they work.
Hence the research question in this paper: Is it possible to create a 3D point cloud completion algorithm from 2.5D data, without resorting to the use of AI?
A three-step approach was chosen: dividing the scene, reconstructing its objects, and turning everything into meshes. The focus was on the reconstruction. The basic principle used is that of symmetry.
The main conclusions are that this approach can work, but only for relatively simple objects.
And whereas the results are easier to understand, the logic-based approach is slower and less accurate than existing approaches.