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Internship - Characterizing and Optimizing Multi-View Vision Systems

Inria · Montbonnot

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At a glance

Highlights

  • Develop metrics for 3D observation density and multi-view redundancy.
  • Build interactive 2D/3D tools to analyze camera configurations.
  • Optimize camera placement to maximize coverage and reconstruction quality.

What they offer

  • Subsidized meals
  • Partial reimbursement of public transport costs
  • Social, cultural and sports events and activities

Ideal candidate

Highly motivated M2 student in computer vision, graphics or robotics who loves 3D geometry and turning ideas into reusable software, eager to explore multi-view reconstruction.

Requirements

  • Master's (M2) student in Computer Science, Computer Vision, Applied Mathematics, Robotics, Computer Graphics or related field
  • Good programming skills in Python and/or C++
  • Background in computer vision, computer graphics, robotics or 3D geometry
remote policy
Teleworking possible up to 90 days per year

Lab profile

About Inria

French national research institute advancing digital sciences, computing, AI and applied mathematics.

What they build

  • Digital sciences and computing research
  • Artificial intelligence for microscopy and video analysis
  • Quantum information theory

Known for

  • Joint teams with Paris-Saclay University and Institut Polytechnique de Paris
  • Embedded in Paris-Saclay science and technology cluster
  • Rich R&D ecosystem with startups, industry and clusters
  • International collaborations and multinational scientific staff

Key facts

  • Founded in 1967
  • Headquartered in France
  • Nine research centres across France
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