Internship - Characterizing and Optimizing Multi-View Vision Systems

Internship - Characterizing and Optimizing Multi-View Vision Systems Download job offer in PDF format Contract type : Internship Level of qualifications required : Master's or equivalent Fonction : Internship Research About the research centre or Inria department The Inria Grenoble research center groups together almost 600 people in 26 research teams and 8 research support departments. Staff is present on three campuses in Grenoble, in close collaboration with other research and higher education institutions (University Grenoble Alpes, CNRS, CEA, INRAE, …), but also with key economic players in the area. Inria Grenoble is active in the fields of high-performance computing, verification and embedded systems, modeling of the environment at multiple levels, and data science and artificial intelligence. The center is a top-level scientific institute with an extensive network of international collaborations in Europe and the rest of the world. Context Context Multi-view reconstruction aims to recover the 3D geometry of a scene from images captured by multiple cameras (e.g., [1]). By combining observations of the same scene points from different viewpoints, multi-view methods can estimate depth and reconstruct detailed 3D surfaces. Reconstruction quality strongly depends on the camera configuration, including camera positions, orientations, focal lengths, fields of view, and image resolutions. Together, these parameters determine which parts of the scene are visible, how accurately they are observed, and how effectively their 3D geometry can be recovered. However, a general framework for quantitatively characterizing the ability of a multi-camera system to reconstruct a given 3D scene is still lacking. Recent work on camera placement and next-best-view selection has primarily focused on coverage and observation quality. In particular, [2] investigates camera placement using learned observation fields, while [3] proposes selecting informative views by prioritizing geometry that is insufficiently covered by existing cameras. Although these approaches provide useful tools for optimizing camera configurations, they do not establish a general framework for quantitatively assessing the reconstruction capabilities of a multi-view vision system. [1] ProbeSDF Toussaint et al., CVPR 2025 [2] Neural Observation Field Guided Hybrid Optimization of Camera Placement Cao et al., IEEE Robotics and Automation Letters 2024 [3] Coverage Optimization for Camera View Selection Chen et al., CVPR 2026 [4] Optimal Camera Placement for Motion Capture Systems Rahimian & Kearney, IEEE TVCG 2017 Team and Supervision The internship will be carried out within the Kinetix team at INRIA Grenoble Rhône-Alpes. The student will be supervised by Edmond Boyer and Julien Pansiot. Assignment Internship The goal of this internship is to develop a general framework for characterizing the observation capabilities of multi-view systems. Metrics that will be investigated include: • the number of pixels observing each voxel, leading to a 3D observation density; • the number of pixels observing each surface element, leading to a surface observation density; • multi-view redundancy and viewing-direction distributions; • potentially, metrics related to geometric reconstruction quality. Main activities Part of the internship will be the development of a reusable library implementing these metrics together with interactive 2D/3D visualization tools for analyzing camera configurations and identifying poorly observed regions. A more exploratory objective will be to use these metrics for camera-system optimization. Given a target scene and an objective, the system could optimize camera positions, orientations, focal lengths, and resolutions to maximize coverage, observation density, or another task-specific criterion. This connects the project to recent work [3]on camera placement and active view selection. The project combines multi-view geometry, 3D vision, optimization, and software development, with the possibility of pursuing research directions depending on the results. Skills Profile We are looking for a highly motivated Master student M2 in Computer Science, Computer Vision, Applied Mathematics, Robotics, Computer Graphics, or a related field. Good programming skills in Python and/or C++ are required. Background in computer vision, computer graphics, robotics, or 3D geometry would be appreciated. Benefits package • Subsidized meals • Partial reimbursement of public transport costs • Possibility of teleworking (90 days / year) and flexible organization of working hours • Social, cultural and sports events and activities Remuneration Minimum legal gratification Apply for this position Share • Facebook • Linkedin • Twitter • Email General Information • Theme/Domain : Vision, perception and multimedia interpretation Scientific computing (BAP E) • Town/city : Montbonnot • Inria Center : Centre Inria de l'Université Grenoble Alpes • Starting date : 2027-02-01 • Duration of contract : 5 months • Deadline to apply : 2026-12-04 Warning : you must enter your e-mail address in order to save your application to Inria. Applications must be submitted online on the Inria website. Processing of applications sent from other channels is not guaranteed. Instruction to apply Applications must be submitted online on the Inria website Defence Security : This position is likely to be situated in a restricted area (ZRR), as defined in Decree No. 2011-1425 relating to the protection of national scientific and technical potential (PPST).Authorisation to enter an area is granted by the director of the unit, following a favourable Ministerial decision, as defined in the decree of 3 July 2012 relating to the PPST. An unfavourable Ministerial decision in respect of a position situated in a ZRR would result in the cancellation of the appointment. Recruitment Policy : As part of its diversity policy, all Inria positions are accessible to people with disabilities. Contacts • Inria Team : KINETIX • Recruiter : Boyer Edmond / edmond.boyer@inria.fr About Inria Inria, the French national institute for research in digital science and technology, supports the French government in national research and innovation strategies in the digital field, acting as Digital Programs Agency. Inria leads over 300 research and innovation projects with its 3,500 scientists, engineers, and support staff, in partnership with universities and the digital ecosystem (businesses, entrepreneurs, and public stakeholders). Together, we explore strategic fields such as artificial intelligence, cybersecurity, quantum computing, cloud technologies, digital transformation in healthcare, digital twins, and digital technologies for defence. We develop practical solutions such as software, tech startups, partnerships with national companies, and cutting-edge training programmes. Our goal is to drive scientific, technological, and industrial excellence to ensure France’s digital sovereignty.