- Course
- 2020-2021
- Semester
- 2
- ECTS
- 6
- Type
- Elective
- University
- UVigo
Subject objectives
In this subject students will learn to:
1.- Accurately model an image acquisition system from a geometric point of view;
2.- Model the relative orientation between images and the acquisition and processing methodologies to obtain
a local system 3D model
3.- Describe and obtain a three-dimensional model in a global reference system based on orientation tools
4.-Integrate heterogeneus sensors and multimodal vision-laser information aimed at mapping and navigating
the environment.
Contents
Topic
– Advanced Calibration of cameras
Geometrical properties of optical systems. Collinearity Condition.
Geometrical resolution of a camera.
Calibration of a camera. Parameters. Errors. Iterative correction. Precision.
-Geometrical transformations.
Transformations in the plane. Similarity. Affinity. Projectivity. Polynomial transformations.
Spatial Transformations. Parameter Transformation.
-Correction of perspective, rectification and metrology
Spatial image resection.
Planar image rectification.
Single view Measurement. Precision.
-Relative and absolute orientation.
Coplanarity condition.
Epipolar geometry and triangulation. Model Coordinate system .
Quality Parameters and precision. Stereoscopic pairs .
Absolute orientation. Global Reference Systems. Datum.
Bundle adjustment. Adjustment Models and self-calibration.
Generation of orthoimages.
Basic and complementary bibliography
Thomas Luhmann, Close Range Photogrammetry, 1-870325-50-8, Whittles Publishing, 2006
Richard Hartley, Multiple view geometry in Computer Vision, 0521-54051-8, 2, Cambridge : Cambridge University Press, 2003
Karl Kraus, Photogrammetry : geometry from images and laser scans, 978-3-11-019007-6, 2, Berlin ; New York : Walter De Gruyter, cop., 2007
Complementary Bibliography
Wolfgang FörstnerBernhard P. Wrobel, Photogrammetric Computer Vision, 978-3-319-11549-8, Springer, 2016
Competencies
CB6 Possess and understand knowledge that provides a basis or opportunity to be original in the development and / or application of ideas, often in a research context.
CB9. That the students know how to communicate their conclusions –and the ultimate knowledge and reasons that support them– to specialized and non-specialized audiences in a clear and unambiguous way.
CB10: Students are expected to acquire the learning skills that allow them to continue studying in a way that will be largely self-driven or autonomous.
CT2- Capacity for teamwork, organization and planning.
CE1. Know and apply the concepts, methodologies and technologies of image processing.
CE3. Know and apply the concepts, methodologies and technologies of image and video analysis.
CE5: Students are expected to know how to analyze and apply state of the art methods in computer vision.
CE6- To be knowledgeable and to apply fundamentals of image acquisition and computer vision.
CE9: Students are expected to know and apply the concepts, methodologies and technologies for the recognition of visual patterns in real scenes.
Teaching methodology
Lecturing:
It will consisst of the collaborative discussion of contents of the course of way.
This includes discussion and solving problems and practical case studies in the classroom.
Practices through ICT:
Methodology oriented to solving cases of study related with the thematic of the course using software of reference.
Practices and exercises focused on the implementation of the algorithms explained in the participatory classes.
This subject requires face-to-face assistance fof all students at the University of Vigo to carry out part of their laboratory practices.
Mentored work:
taking into account proposed practical case studies, this method is oriented to solving and documenting a complete photogrammetric project, including the definition of: image acquisition methodologies in the field, supporting data collection for model georeferencing and the main
photogrammetric products obtained through the photogrammetric process .
Seminars:
The description of a concrete practical case related with the professional practice of photogrammetry.
For all the modalities of teaching, tutorial session meetings could be held by telematic means (email, videoconference, forums in FAITIC, …) Under the modality of previous agreement.
See Contingency Plan for Alternative Scenarios.
Evaluation system
Mentored work (30):
The students will have to complete a case of study by means of the design of a methodology that include the steps seen in the course:
1.- Objectives, Requirements and Products analysis
2.- Definition of the image acquisition networks in the case study
3.- Image processing and analysis
4.- Obtaining key photogrammetric products.
Evaluated Competences:
CB6
CB9
CB10
CT2
CE1
CE3
CE5
CE6
CE9
Objective questions exam (30):
The students will have to answer individually a test with questions about the contents of the course.
Evaluated Competences:
CB6
CB9
CB10
CT2
CE1
CE3
CE5
CE6
CE9
Problem and/or exercise solving (40):
The students will have to resolve of individual form and in small groups a group of cases and concrete practical exercises.
Evaluated Competences:
CB6
CB9
CB10
CT2
CE1
CE3
CE5
CE6
CE9
See Contingency Plan for Alternative Scenarios.
Studying time and personal work
Recommended study time for students is about 2 hours per week. Additionally, we estimate that they should spend about 6,5 hours / week working in a number of assignments. All of these activities add up to around 120h/semester.
Subject study recommendations
Subjects that are recommended to be taken simultaneously
Instrumentation and processing for machine vision/V05M185V01104
Real time machine visión/V05M185V01207
Subjects that it is recommended to have taken before
Image description and modeling/V05M185V01102
Fundamentals of image analysis and processing/V05M185V01101
Observations
=== Contingency Plan (Universidade de Vigo) ===
Considering the uncertain and unpredictable evolution of the health alert caused by COVID-19,
the University establishes an extraordinary planning that will be activated when the
administrations and the institution determine it. It is based on safety, health and responsibility,
and it guarantees teaching in an online or semi-presential modalities. These already planned
measures will guarantee, at the required time, the development of teaching in a more agile and
effective way, because they will be known in advance by students and teachers through the
standardized tool for teaching guides DOCNET.
1. Semi-presential modality
Once the semi-presential teaching is required, it would mean a reduction of the capacity of the
teaching spaces used in the face-to-face modality. Therefore, as the first measure of the centre,
the capacity of the teaching spaces would be reformulated and informed to the teachers, in
order to proceed to reorganize the formative activities for the rest of the semester. It should be
noted that the reorganization will depend on the moment throughout the semester in which this
semi-presential modality is activated. For the reorganization of the teaching activities, the
following guidelines would be followed:
Through the FaiTIC platform, all the students will be informed about the new conditions under
which the formative activities and assessment tests will be carried out at the end of the
semester.
The tutorial sessions will be carried out by telematic means (email, videoconference, FAITIC
forums, …) with prior agreement.
Once some of the students have carried out experimental or computer laboratory practices in
the face-to-face modality, if it is possible, the rest of the students will have the possibility to
perform the same or equivalent activities in the same modality.
For the rest of the activities until the end of the semester, it should be done a proper
identification of those formative activities which can be done under face-to-face modality and
those which will be carried out remotely.
Regarding the potential tools to be applied for the formative activities during the online mode,
CampusRemoto and the FaiTIC platform will be used.
2. Online modality
In the event that the non-face-to-face teaching modality is required (suspension of all face-to-
face formative and assessment activities), the tools currently available at the University of Vigo,
CampusRemoto and the FaiTIC platform will be used. The reorganization will depend on the
moment throughout the semester in which this online modality is activated. In the reorganization
of the teaching activities, the following guidelines would be followed:
2.1. Communication
Through the FaiTIC platform, all the students will be informed about the new conditions under
which the formative activities and assessment tests will be carried out at the end of the
semester.
2.2. Adaptation and / or modification of teaching methodologies
Taking into account that the methodologies have been conceived for the face-to-face teaching modality in a multicampus
environment, only formative
activities in laboratory will be replaced by practices based on telematic tools
2.3. Adaptation of tutorial sessions and personalized attention
The tutorial sessions may be carried out by telematic means (email, videoconference, FAITIC
forums, …) with prior agreement.
2.4. Evaluation
The proofs of face-to-face evaluation will be replaced by asynchronous delivery of activities or tasks and personal interviews
for reasoned discussion about any of the contents of the course.