Master Thesis - Estimating relative camera pose through adaptive geometry matching

Job Title

Master Thesis - Estimating relative camera pose through adaptive geometry matching

Job Description

Category

Computer Science, Computer Vision, 3D Geometry, Machine Learning

Scope

Two students completing a master's thesis, 30 hp each.

Background

Axis Communications offers a wide range of cameras with analytics capabilities. The accuracy of analytics can be improved when complemented with 3D spatial awareness. Achieving spatial awareness requires determining the camera's position and orientation relative to a 3D map of the scene.

Real deployments face temporal drift between the map and reality. Changes in the environment (moved furniture, transient objects, lighting variations) and sensor limitations (measurement noise, spare data) make it challenging to automatically determine the relative camera pose from an outdated reference. This thesis investigates relative camera pose estimation in SE(3) using traditional geometric methods and/or deep learning methods under real-world conditions.

Goal

The primary goal of this thesis is to develop a method for estimating the relative camera pose by matching geometry in a live 2D image against a noisy and stale 3D point cloud. The method must be temporally robust and eliminate or minimize human-in-the-loop interaction. Possible approaches include combining traditional methods (like PnP) with deep learning for semantic segmentation of point clouds or using a full deep learning pipeline.

Who are you?

For this thesis proposal, we target students with a strong interest in computer science, likely enrolled in a master's program focused on computer vision or machine learning.

OK, I am interested! What do I do now?
You are valuable to us - how nice that you are interested in one of our proposals! There are a few things for you to keep in mind when applying.

• Applications are accepted in both Swedish and English, and you apply via the proposal advert.
• The announced thesis is open only to students affiliated with a Swedish University/College either directly or via an exchange program.
• When the thesis proposal states that it includes two students working together, we would like you to apply in pairs. In these cases, send one application each but make sure to clearly state in your application who your co-applicant is. If you have any questions regarding this, please do not hesitate to contact us.
• Please attach your CV and University/College grade summary.

Who to contact for any questions regarding the position:

Recruiting manager Sofia Raismaa at +46 (0)72-245 19 70 or HR-generalist Hannah Skog at +46 (0)76 176 24 94.

Type of Employment
Thesis Worker (Fixed Term)

Posting End Date
2025-11-28

Certain roles at Axis require background checks, which means applicable verifications will be done in these recruitments. Notice will be provided before we take any action.

About Axis Communications

We enable a smarter, safer world by creating innovative solutions for improving security and business performance. As a network technology company and industry leader, we offer solutions in video surveillance, access control, intercom, and audio systems, enhanced by intelligent analytics applications.

With around 5000 committed employees in over 50 countries, we collaborate with partners worldwide. Together, we thrive in our friendly, open, and collaborative culture and inspire each other to think beyond the expected. United by our commitment to inclusion, diversity, and sustainability, we consistently seek to develop our skills and way of working.

Let's create a smarter, safer world

For more information about Axis, please visit our website www.axis.com.

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