4 papers
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…
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…