This version of the course guide is provisional until the period for editing the new course guides ends.

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3D Visualisation

Code: 104391 ECTS Credits: 6
2024/2025
Degree Type Year
2503740 Computational Mathematics and Data Analytics OB 2

Contact

Name:
Florent Nicolas Balacheff
Email:
florent.balacheff@uab.cat

Teachers

Enric Marti Godia

Teaching groups languages

You can view this information at the end of this document.


Prerequisites

Linear Algebra


Objectives and Contextualisation

The main objective of this lecture is to provide students with the theoretical framework necessary to undertsand the 3D-vision.


Learning Outcomes

  1. CM19 (Competence) Use homographic transformations and conformal representation.
  2. CM19 (Competence) Use homographic transformations and conformal representation.
  3. CM21 (Competence) Select the suitable data compression in each case to preserve the desired properties.
  4. KM18 (Knowledge) Identify the group of quaternions and their application to geometry and visualisation.
  5. KM18 (Knowledge) Identify the group of quaternions and their application to geometry and visualisation.
  6. SM18 (Skill) Use quaternions in data representation algorithms.
  7. SM18 (Skill) Use quaternions in data representation algorithms.

Content

Representation of a 3D moving scene

  • 3D Euclidean space
  • Rigid-body motion
  • Rotations
  • Homogenous representation

Image formation

  • Representation of images
  • Geometric model of image formation
  • Projective geometry

Epipolar geometry

  • Essential matrix
  • The eight-point linear algorithm
  • Planar scenes and homography
  • The homography matrix

Activities and Methodology

Title Hours ECTS Learning Outcomes
Type: Directed      
Problems 8 0.32
Seminars 14 0.56
Theory 27 1.08
Type: Supervised      
Tutorship sessions 10 0.4
Type: Autonomous      
Programming 27 1.08
Solving problems 27 1.08
Study 29 1.16

There will be three types of directed activities: theory classes where the concepts of the subject will be introduced, problem classes where the students will manipulate these concepts and seminary classes where specific software will be used to obtain accurate representations of three-dimensional objects.

Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.


Assessment

Continous Assessment Activities

Title Weighting Hours ECTS Learning Outcomes
Final exam 40% 3 0.12 CM19, CM21, KM18, SM18
Midterm exam 40% 3 0.12 CM19, CM21, KM18, SM18
Seminar work 20% 2 0.08 CM19, CM21, KM18, SM18

The evaluation will consist of an intrasemestral exam that will count 40% of the note, an examination at the end of the semester that will count 40% of the note and the remaining 20% will be obtained from the work made in the seminar classes. Assistance to the seminars is compulsory

In case that the continuous assessment note thus obtained does not reach 5, the student who has completed 2/3 of the evaluation activities may take a recovery exam whose grade will substitute that of the two partial exams. A student taking the recovery exam and together with the seminar's note  passing the course will be awarded the final note of 5 independently of the actual note of the recovery exam.

 

Awarding an honors matriculation qualification is the decision of the teaching staff responsible for the subject. UAB regulations indicate that MH can only be granted to students who have obtained a final grade equal to or higher than 9.00. Up to 5% of MH of the total number of enrolled students can be awarded.

 

A student will be considered non-evaluable (NA) if he has not taken part in a set of activities whose weight is equivalent to a minimum of two-thirds of the subject's total grade.

 

The single assessment of the subject will consist of the following assessment activities:

- Taking the final exam, for 40% of the grade.
- Delivery on the day of the final exam of the assignments requested in the seminars, for 20% of the final grade. In particular, attendance at seminars is mandatory.
- Taking an oral exam, for 40% of the grade.

If necessary the written exam can be re-evaluated. If a student passes with the recovery exam, then the final note will be a 5 independently of the actual note of the recovery exam. The oral exam and seminars can not be re-evaluated.


Bibliography

Faugeras, Olivier, Three-dimensional computer vision : a geometric viewpoint, 1993.

Yi Ma and [al.], An Invitation to 3-D vision : from images to geometric models, Ma, Yi, ed., 2004.

Hartley, Richard, Zisserman, Andrew, Multiple view geometry in computer vision, Cambridge Univ. press, 2008

Forsyth, David A., Ponce, Jean, Computer vision : a modern approach, 2003.

D. Shreiner, G. Sellers, J. Kessenich, B. Licea-Kane, OpenGL Programming Guide, 8th Eds, 2013, Addison-Wesley. Red book.

OpenGL Superbible - Comprehensive Tutorial and Reference, 7th eds, Addison-Wesley, 2016. Blue book.

Edward Angel, David Shreiner, Interactive Computer Graphics - A top-down approach using OpenGL, 6th ed, Pearson Education, 2012.


Software

OpenGL or similar.


Language list

Name Group Language Semester Turn
(PLAB) Practical laboratories 1 Catalan first semester morning-mixed
(SEM) Seminars 1 Catalan first semester morning-mixed
(TE) Theory 1 Catalan first semester morning-mixed