8 papers
FOCUS -- Multi-View Foot Reconstruction From Synthetically Trained Dense Correspondences
Oliver Boyne, Roberto Cipolla
Surface reconstruction from multiple, calibrated images is a challenging task - often requiring a large number of collected images with significant overlap. We look at the specific…
LUCES-MV: A Multi-View Dataset for Near-Field Point Light Source Photometric Stereo
Fotios Logothetis, Ignas Budvytis, Stephan Liwicki +1
The biggest improvements in Photometric Stereo (PS) field has recently come from adoption of differentiable volumetric rendering techniques such as NeRF or Neural SDF achieving imp…
NPLMV-PS: Neural Point-Light Multi-View Photometric Stereo
Fotios Logothetis, Ignas Budvytis, Roberto Cipolla
In this work we present a novel multi-view photometric stereo (MVPS) method. Like many works in 3D reconstruction we are leveraging neural shape representations and learnt renderer…
VRS-NeRF: Visual Relocalization with Sparse Neural Radiance Field
Fei Xue, Ignas Budvytis, Daniel Olmeda Reino +1
Visual relocalization is a key technique to autonomous driving, robotics, and virtual/augmented reality. After decades of explorations, absolute pose regression (APR), scene coordi…
PRAM: Place Recognition Anywhere Model for Efficient Visual Localization
Fei Xue, Ignas Budvytis, Roberto Cipolla
Visual localization is a key technique to a variety of applications, e.g., autonomous driving, AR/VR, and robotics. For these real applications, both efficiency and accuracy are im…
A Neural Height-Map Approach for the Binocular Photometric Stereo Problem
Fotios Logothetis, Ignas Budvytis, Roberto Cipolla
In this work we propose a novel, highly practical, binocular photometric stereo (PS) framework, which has same acquisition speed as single view PS, however significantly improves t…
Sparse Multi-Object Render-and-Compare
Florian Langer, Ignas Budvytis, Roberto Cipolla
Reconstructing 3D shape and pose of static objects from a single image is an essential task for various industries, including robotics, augmented reality, and digital content creat…
FOUND: Foot Optimization with Uncertain Normals for Surface Deformation Using Synthetic Data
Oliver Boyne, Gwangbin Bae, James Charles +1
Surface reconstruction from multi-view images is a challenging task, with solutions often requiring a large number of sampled images with high overlap. We seek to develop a method…