3D Visualisation
Code: 104391 ECTS Credits: 6| Degree | Type | Year | Semester |
|---|---|---|---|
| 2503740 Computational Mathematics and Data Analytics | OB | 2 | 1 |
Contact
- Name:
- Florent Nicolas Balacheff
- Email:
- florent.balacheff@uab.cat
Teaching groups languages
You can check it through this link. To consult the language you will need to enter the CODE of the subject. Please note that this information is provisional until 30 November 2023.
Teachers
- Enric Marti Godia
Prerequisites
Linear Algebra
Objectives and Contextualisation
The main objective is to provide students with the theoretical framework necessary to graphically represent three-dimensional objects and recover their geometric properties from two-dimensional projections.
Competences
- Calculate and reproduce certain mathematical routines and processes with ease.
- Demonstrate a high capacity for abstraction and translation of phenomena and behaviors to mathematical formulations.
- Formulate hypotheses and think up strategies to confirm or refute them.
- Make effective use of bibliographical resources and electronic resources to obtain information.
- Students must be capable of applying their knowledge to their work or vocation in a professional way and they should have building arguments and problem resolution skills within their area of study.
- Students must have and understand knowledge of an area of study built on the basis of general secondary education, and while it relies on some advanced textbooks it also includes some aspects coming from the forefront of its field of study.
- Work cooperatively in a multidisciplinary context assuming and respecting the role of the different members of the team.
Learning Outcomes
- "Explain ideas and mathematical concepts pertinent to the course; additionally, communicate personal reasonings to third parties."
- Contrast, if possible, the use of calculation with the use of abstraction in solving a problem.
- Develop autonomous strategies for solving problems such as identifying the ambit of problems within the course, discriminate routine from non-routine problems, design an a priori strategy to solve a problem, evaluate this strategy.
- Evaluate the advantages and disadvantages of using calculation and abstraction.
- Make effective use of bibliographical resources and electronic resources to obtain information.
- Manage homographic transformations and consequent representation.
- Manage quaternions in data-representation algorithms.
- Read and understand a mathematical text at the current level of the course.
- Students must be capable of applying their knowledge to their work or vocation in a professional way and they should have building arguments and problem resolution skills within their area of study.
- Students must have and understand knowledge of an area of study built on the basis of general secondary education, and while it relies on some advanced textbooks it also includes some aspects coming from the forefront of its field of study.
- Understand the group of quaternions and their application to geometry and visualization.
- Work cooperatively in a multidisciplinary context, taking on and respecting the role of the distinct members in the team.
Content
1. Euclidean geometry. Rigid motions. Clifford's algebras, quaternions and rotations.
2. Affine geometry. Affine transformations, simple ratio, convex combinations of points. Bezier's curves.
3. Projective geometry. Projectivities, cross ratio.
4. Differential geometry of curves. Frenet's frame.
Methodology
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 graphic 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.
Activities
| Title | Hours | ECTS | Learning Outcomes |
|---|---|---|---|
| Type: Directed | |||
| Problems | 8 | 0.32 | 4, 2, 11, 3, 1, 8, 7, 6, 10, 9, 12, 5 |
| Seminars | 14 | 0.56 | 4, 2, 11, 3, 1, 8, 7, 6, 10, 9, 12, 5 |
| Theory | 27 | 1.08 | 4, 2, 11, 3, 1, 8, 7, 6, 10, 9, 12, 5 |
| Type: Supervised | |||
| Tutorship sessions | 10 | 0.4 | 4, 2, 11, 3, 1, 8, 7, 6, 10, 9, 12, 5 |
| Type: Autonomous | |||
| Programming | 27 | 1.08 | 4, 2, 11, 3, 1, 8, 7, 6, 10, 9, 12, 5 |
| Solving problems | 27 | 1.08 | 4, 2, 11, 3, 1, 8, 7, 6, 10, 9, 12, 5 |
| Study | 29 | 1.16 | 4, 2, 11, 3, 1, 8, 7, 6, 10, 9, 12, 5 |
Assessment
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. 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.
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.
Assessment Activities
| Title | Weighting | Hours | ECTS | Learning Outcomes |
|---|---|---|---|---|
| Final exam | 40% | 3 | 0.12 | 4, 2, 11, 3, 1, 8, 7, 6, 10, 9, 5 |
| Midterm exam | 40% | 3 | 0.12 | 4, 2, 11, 3, 1, 8, 7, 6, 10, 9, 5 |
| Seminar work | 20% | 2 | 0.08 | 4, 2, 11, 3, 1, 8, 7, 6, 10, 9, 12, 5 |
Bibliography
A. Reventós, Afinitats, moviments i quàdriques, Manuals de la Universitat Autònoma de Barcelona, 2008.
A. Reventós, Geometria projectiva, Materials de la Universitat Autònoma de Barcelona, 2000.
M. do Carmo, Geometría diferencial de curvas y superficies. Alianza Editorial, 1990.
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.