Reconstruction tridimensionnelle pour projection sur surfaces arbitraires

Papyrus

http://hdl.handle.net/1866/9826

Abstract

This thesis falls within the field of computer vision. It focuses on stereoscopic camera calibration, camera-projector matching, 3D reconstruction, projector blending, point cloud meshing, and surface parameterization. Conducted as part of the LightTwist project at the Vision3D laboratory, the work presented in this thesis aims to facilitate video projections on large surfaces of arbitrary shape using more than one projector. This type of projection is often seen in theater, digital arts, and architectural projections. To this end, we begin with the calibration of the cameras, followed by a piecewise 3D reconstruction using an active unstructured light scanning method. An automated alignment and meshing of the partial reconstructions yields a complete 3D model of the projection surface. This thesis then introduces a new approach for the parameterization of 3D models based on an efficient computation of geodesic distances across triangular meshes. The only input required from the user is the manual selection of the boudaries of the projection area on the model. The final parameterization is computed using the geodesic distances obtained for each of the model's vertices. Until now, existing methods did not permit the parameterization of models having a million vertices or more.

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