no code implementations • ICCV 2015 • Alberto Crivellaro, Mahdi Rad, Yannick Verdie, Kwang Moo Yi, Pascal Fua, Vincent Lepetit
We present a method that estimates in real-time and under challenging conditions the 3D pose of a known object.
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.
no code implementations • CVPR 2014 • Alberto Crivellaro, Vincent Lepetit
We introduce a method that can register challenging images from specular and poorly textured 3D environments, on which previous approaches fail.