Internship: Optimize & Characterize Multi-View Vision

1000scholars; Montbonnot-Saint-Martin; Remote; EUR 10,000 - 15,000; Full time

Job summary

INRIA Montbonnot seeks a highly motivated Master student (M2) to work on characterizing and optimizing multi-view vision systems. The internship is carried out within the Kinetix team, supervised by Edmond Boyer and Julien Pansiot, focusing on developing a framework to assess observation capabilities of multi-view setups.

You will implement metrics such as pixel coverage per voxel and per surface element, build interactive visualization tools, and explore camera-system optimization to maximize

Qualifications

• Strong programming skills in Python and/or C++.
• Background in computer vision, computer graphics, robotics, or 3D geometry.

Responsibilities

• Develop a reusable library implementing observation metrics.
• Create interactive 2D/3D visualization tools for camera configurations.
• Investigate camera-system optimization to maximize coverage and observation density.
• Collaborate with the Kinetix team under supervision by senior researchers.

Skills

Python

C++

Computer Vision

3D geometry

Education

Master student M2 in Computer Science or related field

Job description

INRIA Montbonnot seeks a highly motivated Master student (M2) to work on characterizing and optimizing multi-view vision systems. The internship is carried out within the Kinetix team, supervised by Edmond Boyer and Julien Pansiot, focusing on developing a framework to assess observation capabilities of multi-view setups.

You will implement metrics such as pixel coverage per voxel and per surface element, build interactive visualization tools, and explore camera-system optimization to maximize