Computer Vision 2 - Spring 2023

For MSc in Artificial Intelligence at University of Amsterdam

About

Welcome to the website for Computer Vision 2! This course is designed to provide you with a deeper understanding of computer vision techniques and their practical applications. Over the course of four lectures, we will cover a range of topics from projective geometry and camera models to dense 3D reconstruction.

In addition to the lectures, we are excited to offer a new experimental session in this course, which provides an opportunity for students to gain hands-on experience with various cutting-edge computer vision topics. This session will give you a chance to apply the concepts and techniques learned in the lectures to real-world problems and explore new areas of computer vision.

The class is taught by Prof. Theo Gevers, Assistant Prof. Martin Oswald, Dr. Sezer Karaoglu. The teaching assistant team consists of Qi Bi, Melis Öcal, Pieter Pierrot, Ozzy Ülger, Ronny Velastegui Sandoval, Weijie Wei, Xiaoyan Xing.

Instructors

Teaching Assistants

Schedule

Following is the tentative schedule and some practical information. Please keep an eye on Datanose and Canvas for up-to-date changes.

Lecture 1: Introduction & Organizational Overview Projective Geometry and Camera Models

SP C0.05 | 5pm-7pm | April 03, 2023

Lecture 2: Camera Calibration and Feature Matching

SP C0.05 | 5pm-7pm | April 17, 2023

Lecture 3: Structure from Motion

SP C0.05 | 5pm-7pm | April 24, 2023

Lecture 4: Dense 3D Reconstruction

SP C0.05 | 5pm-7pm | May 8, 2023

Lecture 5: TBD

SP C0.05 | 5pm-7pm | May 15, 2023

Lab Session: Project Based Explore

Project Proposals

11am-1pm, 3pm-5pm | April 13, 2023

11am-1pm, 3pm-5pm | April 20, 2023

11am-1pm, 3pm-5pm | May 10, 2023

Group Paper Presentation

Paper List

SP H0.08 | 5pm-7pm | April 12, 2023

SP H0.08 | 5pm-7pm | April 19, 2023

SP L1.01 | 5pm-7pm | April 26, 2023

SP H0.08 | 5pm-7pm | May 10, 2023

SP H0.08 | 5pm-7pm | May 17, 2023

Contact

The good place to ask questions is Canvas