33 citations · 33 across the 1 of their papers we have counts for
2 papers
cs.CV2018
Deep Shape-from-Template: Wide-Baseline, Dense and Fast Registration and Deformable Reconstruction from a Single Image
David Fuentes-Jimenez, David Casillas-Perez, Daniel Pizarro +2
We present Deep Shape-from-Template (DeepSfT), a novel Deep Neural Network (DNN) method for solving real-time automatic registration and 3D reconstruction of a deformable object vi…
cs.CV2017★ 33 cited
SLAM based Quasi Dense Reconstruction For Minimally Invasive Surgery Scenes
Nader Mahmoud, Alexandre Hostettler, Toby Collins +3
Recovering surgical scene structure in laparoscope surgery is crucial step for surgical guidance and augmented reality applications. In this paper, a quasi dense reconstruction alg…