Internship in Multi-View 3D Vision System Optimization

Inria; Montbonnot-Saint-Martin; Remote; EUR 7,800 - 12,000; Part time

Benefits offered by this job

Partial reimbursement of public travel

Teleworking up to 90 days/year

Social, cultural and sports events

Job summary

Inria Grenoble is offering an internship to characterize and optimize multi-view vision systems. You will work on a general framework to analyze how camera configurations affect 3D reconstruction quality.

The project includes building a reusable library of metrics and developing interactive 2D/3D visualization tools to analyze camera configurations and identify poorly observed regions. The role combines multi-view geometry, 3D vision, optimization, and software development, with opportunities to

Qualifications

• Master student in Computer Science, Computer Vision, Applied Mathematics, Robotics, Computer Graphics or related field.
• Strong programming skills in Python and/or C++.
• Background in computer vision, computer graphics, robotics or 3D geometry is a plus.

Responsibilities

• Develop a general framework to characterize observation capabilities of multi‑view systems.
• Implement a reusable library with metrics and interactive 2D/3D visualization tools.
• Explore camera-system optimization by adjusting camera configurations to maximize coverage and observation density.

Skills

Computer Vision

3D geometry

Robotics

Python

C++

Education

Master's degree or equivalent (M2) in CS/CV/Applied Math/Robotics/Graphics

Tools

Python

C++

Job description

Inria Grenoble is offering an internship to characterize and optimize multi-view vision systems. You will work on a general framework to analyze how camera configurations affect 3D reconstruction quality.

The project includes building a reusable library of metrics and developing interactive 2D/3D visualization tools to analyze camera configurations and identify poorly observed regions. The role combines multi-view geometry, 3D vision, optimization, and software development, with opportunities to