3D Acquisition

Duration

10h Th, 20h Pr, 0,5d FW

Number of credits

Lecturer

N...

Substitute(s)

Florent Poux

Language(s) of instruction

French language

Organisation and examination

Teaching in the first semester, review in January

Schedule

Schedule online

Units courses prerequisite and corequisite

Prerequisite or corequisite units are presented within each program

Learning unit contents

The "3D Acquisition" course will enable you to master the key principles related to the acquisition of spatial data. Your objective is to complete the course by carrying out the various missions requested, linked to a final project.

To help you realize this project, I provide you with 3 tools: - Theoretical courses, to prepare you and allow you to rely on a clear basis - Practical work, to directly apply theoretical learning - Supervised support based on the deliverables of the various missions.

Content of the teaching unit
Reality Capture
The principles Instruments and methods Sensors and acquisition vectors 3D applications

Laser scanning
Principle of Laser scanning The different Laser Scanners and mobile platforms Laser Scanning: errors Laser Scanning: In practice (Acquisition) Laser Scanning: Assembly (Registration) Laser Scanning: Processing of "point cloud" data
Dense photogrammetry "Structure from Motion (SfM)"
Introduction to 3D photo-reconstruction The "classic" photogrammetry Measurement platforms Principle of SfM Photogrammetry 3D photo-reconstruction: in practice Camera settings for shooting Land acquisition Multi-view reconstruction The "SfM" processes Dense matching Image interpretation 3D reconstruction, orthoimage and DSM
Data fusion and 3D assembly
Make floorplans from 3D data Extract data information from point clouds Introduction to 3D mesh processing Control and characterization of errors and precision of techniques Assembly, Georeferencing and 3D implementation Production of maps, plans and geo-referenced 3D reconstructions

These different points are addressed in a theoretical way, then put into practice directly according to a project established during the first theoretical session.

Learning outcomes of the learning unit

Become an expert in "Reality Capture", able to manage 3D survey projects from A to Z.

Prerequisite knowledge and skills

• Geodetic systems
• Geometry and trigonometry
• Least squares
• Epipolar Geometry
• Use of word processing softwares
• Use of spreadsheets and/or programming scripts
• Make a professional presentation
• Topography & Use of total stations + GNSS receivers
• Réalisation de présentation par diaporama

Planned learning activities and teaching methods

The training process is relatively simple but not necessarily intuitive if you are used to traditional training.
You will not take courses that lead to exams with quotations.  You will carry out missions that lead to reports, calculations and/or support to validate the acquisition of skills.
In other words, to do this training I ask you to acquire all the essential skills of a professional.
The projects are reconstructions of professional scenarios, simulations of the daily life of a professional, if you prefer. In the project, I give you a list of deliverables or tasks to be carried out in compliance with requirements. Then it's up to you. As in real life, these activities can take several weeks (or even months).
The idea of project-based pedagogy is to enable you to learn under conditions that are as realistic as possible. So the projects push you to:
Contextualize your practices Plan your work in the short/medium/long term Find the information you need to solve a problem Create quality deliverables that you can use during interviews Present your work publicly Improve yourself with resources and feedback
The logistical and scheduling organization can be variable, but a certain amount of theory will be provided before each mission is carried out. The missions will partly and/or fully be realized in pratical sessions

Mode of delivery (face-to-face ; distance-learning)

It is a face-to-face teaching. The theoretical and practical sessions in controlled autonomy take place on the day scheduled in the course schedule.

Recommended or required readings

Provided in class

Assessment methods and criteria

A permanent non-certifying self-assessment is ensured during the practical exercise sessions by strong interaction between students and teachers.
The certification evaluation is carried out on the basis of the different deliverables and supports.
6 families of criteria are studied:
Field/practicals activities Reports and deliverables Mission-specific techniques The different calculations and logical reasoning The graphical report The quality of the defense
The questions asked during the student's support are inspired by the imperfections of the different deliverables.
The evaluation criteria are: clarity, coherence, logic, rigour, precision, exhaustiveness, conciseness, relevance, transversality (within and between courses), quality of mathematical interpretations (e. g. mathematical significance of different coefficients in equations), physical (e. g. dimensions and units, order of magnitude - scaling) and geographical (single and multivariate spatial-temporal interaction and nature - type - and significance of variables - e. g.).
The critical sense of the data used (qualification, nature, meaning, representativeness, standardization, etc.) and the methodological choices (justification of the choice of methods, appropriate thresholds, etc.) will also be taken into consideration during the evaluation.
In addition, the answers will also be evaluated on the basis of the quality and originality of the graphic illustrations, and the spirit of synthesis and relevance of the different deliverables.
The final defense is the outcome of the project, and two scenarios are emerging:
Either the student demonstrates full control of the teaching unit and validates the course Either the student presents areas for improvement on certain points which will be the subject of a second defense at the end of the quadrimester in order to rework and perfect any deficiencies

Work placement(s)

Organizational remarks

Contacts

Florent Poux, Chargé de Cours Adjoint
Unité de Géomatique, Allée du Six Août, 19
Tél. 04 366 5986

Adaptation of teaching commitments following the COVID-19 pandemic for the May-June 2020 session

Teaching methods implemented : distance-learning

Assessment subjects

Assessment methods

Contacts

Adaptation of teaching commitments following the COVID-19 pandemic for the Aug-Sept 2020 session

Assessment subjects

Reality Capture
 
Principles Instruments and methods Sensors and acquisition vectors 3D applications
Laser scanning
 
Principle of Laser scanning The different Laser Scanners and mobile platforms Laser Scanning: Errors Laser Scanning: In Practice (Acquisition) Laser Scanning: Assembly (Registration) Laser Scanning: Point Cloud Data Processing
Structure from Motion (SfM) dense photogrammetry.
 
Introduction to 3D photo-reconstruction The "classic" photogrammetry Measuring platforms Principle of SfM Photogrammetry 3D photo-reconstruction: in practice Camera settings for shooting Land acquisition Multi-view reconstruction The "SfM" treatments Dense Matching Image interpretation 3D reconstruction, ortho-image and DSM
Data fusion and 3D assembly
Making plans from 3D data Extract information from scatterplot type data Introduction to 3D mesh processing Control and characterization of errors and precision of techniques Assembly, georeferencing and 3D implementation Production of maps, plans and georeferenced 3D reconstructions

Assessment methods

The assessment will be based on:

• a complete report in response to the issues proposed in the document available on the eCampus space, and whose instructions are explicitly described (30%)
• the quality of the data deposited on the DoX space provided for this purpose (instructions in the eCampus space ) (30%)
• a video conference presentation of the results (40%)

Contacts

fpoux@uliege.be