thesis

Are you interested in doing a thesis or an industrial internship in Computer Vision?

Typically twice a year (September-February) we present our thesis proposal. If you want to be updated on the very latest opportunities, just drop an email!
We organize a series of Thesis-How-To meetings to guide you towards the tehsis process.

You can visit our Thesis-Hall-of-Fame to get an idea of our past theses.

Thesis topics include

  • 3D vision: 3D reconstruction, camera localization, calibration, Nerf…
  • Model fitting: robust estimation, primitive decomposition, motion segmentation, scan2bim, template matching…
  • Pattern Recognition: clustering, anomaly detection, explainability…
  • Quantum Computer Vision…
A demo from the thesis of F. Azzoni to auto-calibrate a wide-angle camera (AR video before the and after the autocalibration).

You can have a look at the thesis I supervised to get an idea of the topics I worked on.

Thesis supervised

  • Erica Manfrin, Structure-based anomaly detection on 3D Point Clouds. MSc in Mathematical Engineering. October 2024, PoliMi.
  • Andrea Bonatti, Liquid Lens Calibration. MSc in Computer Science and Engineering. July 2024, PoliMi.
  • Barini Matteo, Image rectification with a known template. MSc in Mathematical Engineering. March 2024, PoliMi.
  • Simone Colombara, Computing correspondences for Partial Shape Matching via Functional Maps. MSc in Mathematical Engineering. December 2023, PoliMi.
  • Francesco Azzoni, Deep Monocular Autocalibration of Radially Symmetric Wide-Angle Cameras. MSc in Computer Science and Engineering. October 2023, PoliMi.
  • Leonardo Perelli, Trifocal Tensor Estimation for n-view Deep Structure-from-Motion. MSc in Mathematical Engineering. October 2022, PoliMi.
  • Lucia Gioria, Improving Explainable Clustering via Probabilistic Modeling. MSc in Mathematical Engineering. October 2022, PoliMi.
  • Valentina Sgarbossa, Visual Localization in presence of match scarcity. MSc in Mathematical Engineering. October 2022, PoliMi.
  • Danilo Catone, Anomaly detection via learned models and preference analysis. MSc in Computer Science and Engineering. October 2022, PoliMi.
  • Giuseppe Bertolini, Towards a practical, fully automated joint calibration pipeline for X-Ray-RGB medical imaging systems. MSc in Computer Science and Engineering. April 2022. PoliMi.
  • Filippo Galli, Camera Pose Estimation for planar configurations. MSc in GeoInformatics. April 2022. PoliMi.
  • Enrico Ruggiano, Detezione di Linee in Immagini Distorte tramite Analisi delle Preferenze, MSc in Computer Science and Engineering. April 2022. PoliMi.
  • Diana Isaeva, Robust homography estimation for image matching. MSc in Mathematical Engineering. December 2021, PoliMi.
  • Andrea Porfiri Dal Cin, Synchronization on Group-labelled Multigraphs. MSc in Computer Science and Engineering. April 2021, PoliMi.
  • Antonino Maria Rizzo , Semantic aware Sampling for Robust Multi-model Fitting. MSc in Computer Science and Engineering. April 2021, PoliMi.
  • William Bonvini, Unsupervised Learning for Multi-Model Consensus Maximization. MSc in Computer Science and Engineering. April 2021, PoliMi.
  • Simone Francavilla, Image Mosaicing: An approach based on Synchronization and Game Theory. MSc in Computer Science and Engineering. April 2021, PoliMi.