GIS-E3040 - Advanced Photogrammetry D, Lecture, 1.3.2022-13.4.2022

Guest access
Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

To understand how the bundle block adjustment is solved with least-squares adjustment. To understand and apply homogeneous coordinates and projective geometry for solving the main tasks of photogrammetry. To understand Structure-from-Motion and Dense Matching. To understand dynamic applications of photogrammetry. To understand Optical Flow, tracking of moving objects, image-based navigation and possibilities to apply neural networks. To recognize industrial applications of photogrammetry.

Credits: 5

Schedule: 01.03.2022 - 13.04.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Petri Rönnholm

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: Finnish, Swedish, English

CONTENT, ASSESSMENT AND WORKLOAD

Content

  • valid for whole curriculum period:

    Photogrammetric bundle block adjustment. In addition, this course gives a computer vision perspective on solving main tasks in photogrammetry, especially by applying homogeneous coordinates and projective geometry. The contents highlight possibilities of automation in photogrammetry by utilizing latest algorithms to find orientations of images and to create photogrammetric 3D point clouds. The course includes also a seminar part in which the recent developments of photogrammetry and computer vision are illustrated.

Assessment Methods and Criteria

  • valid for whole curriculum period:

    Examination, seminar and assignments

Workload

  • valid for whole curriculum period:

    Lectures (18 h), assignments (60 h), self-study (30 h), preparation for examination + examination (27 h)

DETAILS

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    9 Industry, Innovation and Infrastructure

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Spring IV
    2023-2024 Spring IV

    Enrollment :

    Registration for the courses via Sisu (sisu.aalto.fi).

Rules of Conduct - Students´ Rights and Responsibilities (in force from 1 August 2020)

Aalto University Code of Academic Integrity and Handling Violations Thereof