English

Vid tillräcklig efterfrågan

This course will cover advanced topics in computer vision with a focus on geometry,

Topics covered in the course include simultaneous localization and mapping (SLAM), structure from motion (SFM), and visual localization. Topics will include both traditional methods and recent developments in deep learning-based approaches.

Understand advanced techniques in computer vision for geometry, including SLAM, SFM, and visual localization
Understand and discuss the current state-of-the-art and future directions in computer vision for geometry research
Be familiar with metrics and benchmarks used for evaluation in the field, to measure performance of State-of-the-art methods

Be able to apply advanced techniques in computer vision for geometry, including SLAM, SFM, and visual localization
Analyze and interpret images and videos for 3D reconstruction and scene understanding
Develop and implement systems for pose estimation and mapping
Be able to use metrics and benchmarks to measure performance of developed methods.

Seminarier

Litteraturkurs som självstudier

Seminarieföredrag av deltagarna

Underkänd, godkänd

Vetenskapliga artiklar som belyser både historik och nuvarande forskningsfront inom området.

FMA315F

2023-10-03

Maria Sandsten