Search Results for author: Dat Tien Ngo

Found 2 papers, 0 papers with code

Template-based Monocular 3D Shape Recovery using Laplacian Meshes

no code implementations16 Mar 2015 Dat Tien Ngo, Jonas Ostlund, Pascal Fua

We show that by extending the Laplacian formalism, which was first introduced in the Graphics community to regularize 3D meshes, we can turn the monocular 3D shape reconstruction of a deformable surface given correspondences with a reference image into a much better-posed problem.

3D Shape Reconstruction Surface Reconstruction

Dense image registration and deformable surface reconstruction in presence of occlusions and minimal texture

no code implementations ICCV 2015 Dat Tien Ngo, Sanghuyk Park, Anne Jorstad, Alberto Crivellaro, Chang Yoo, Pascal Fua

In this work, we explicitly address the problem of 3D reconstruction of poorly textured, occluded surfaces, proposing a framework based on a template-matching approach that scales dense robust features by a relevancy score.

3D Reconstruction Image Registration +2

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