Problèmes inverses pour la 3D

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    In brief

  • Code : N9EN18A


This course aims to give an overview of the methods of photographic 3D reconstruction. The problem is the following: from one or more photographs, how to obtain a 3D model of a scene, i.e. its relief and color? We show that the 3D reconstruction methods can be reduced to the resolution of inverse problems. We introduce the main tools for solving such problems. A certain number of sessions of this course will take place in the form of practical work or laboratory work, which will be inspired by the work carried out in the REVA team of IRIT.


This UE is articulated around 3 parts:
PART 1: GEOMETRY: Generalities on photography, 3D as an inverse problem. Introduction to Meshroom, Structure-From-Motion, reminder of optimization tools, beam fitting for SfM
PART 2: Shape-From-Shading: Lecture on light, Photometry, BRDF, lighting representation, underlying inverse problems, Fast marching, depth sensors
PART 3: Stereophotometry


- R. Szeliski, "Computer Vision: Algorithms and Applications", 643 pages, 2010, Springer.
- D. Forsyth, J. Ponce, "Computer Vision: a Modern Approach", 792 pages, 2011, Pearson


Optimization, image processing




The National Institute of Electrical engineering, Electronics, Computer science,Fluid mechanics & Telecommunications and Networks

2, rue Charles Camichel - BP 7122
31071 Toulouse Cedex 7, France

+33 (0)5 34 32 20 00


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