Status, challenges, and future perspectives of fringe projection profilometry

J Xu, S Zhang - Optics and Lasers in Engineering, 2020 - Elsevier
As one of the most popular techniques for non-contact three-dimensional (3D)
sensing/imaging, fringe projection profilometry (FPP) has been growing rapidly over the past …

A Survey of Non‐Rigid 3D Registration

B Deng, Y Yao, RM Dyke, J Zhang - Computer Graphics Forum, 2022 - Wiley Online Library
Non‐rigid registration computes an alignment between a source surface with a target
surface in a non‐rigid manner. In the past decade, with the advances in 3D sensing …

Sc-gs: Sparse-controlled gaussian splatting for editable dynamic scenes

YH Huang, YT Sun, Z Yang, X Lyu… - Proceedings of the …, 2024 - openaccess.thecvf.com
Novel view synthesis for dynamic scenes is still a challenging problem in computer vision
and graphics. Recently Gaussian splatting has emerged as a robust technique to represent …

Learning an animatable detailed 3D face model from in-the-wild images

Y Feng, H Feng, MJ Black, T Bolkart - ACM Transactions on Graphics …, 2021 - dl.acm.org
While current monocular 3D face reconstruction methods can recover fine geometric details,
they suffer several limitations. Some methods produce faces that cannot be realistically …

Function4d: Real-time human volumetric capture from very sparse consumer rgbd sensors

T Yu, Z Zheng, K Guo, P Liu… - Proceedings of the …, 2021 - openaccess.thecvf.com
Human volumetric capture is a long-standing topic in computer vision and computer
graphics. Although high-quality results can be achieved using sophisticated off-line systems …

The relightables: Volumetric performance capture of humans with realistic relighting

K Guo, P Lincoln, P Davidson, J Busch, X Yu… - ACM Transactions on …, 2019 - dl.acm.org
We present" The Relightables", a volumetric capture system for photorealistic and high
quality relightable full-body performance capture. While significant progress has been made …

Human performance modeling and rendering via neural animated mesh

F Zhao, Y Jiang, K Yao, J Zhang, L Wang… - ACM Transactions on …, 2022 - dl.acm.org
We have recently seen tremendous progress in the neural advances for photo-real human
modeling and rendering. However, it's still challenging to integrate them into an existing …

Dynamicfusion: Reconstruction and tracking of non-rigid scenes in real-time

RA Newcombe, D Fox, SM Seitz - Proceedings of the IEEE …, 2015 - cv-foundation.org
We present the first dense SLAM system capable of reconstructing non-rigidly deforming
scenes in real-time, by fusing together RGBD scans captured from commodity sensors. Our …

Dynamic FAUST: Registering human bodies in motion

F Bogo, J Romero, G Pons-Moll… - Proceedings of the …, 2017 - openaccess.thecvf.com
While the ready availability of 3D scan data has influenced research throughout computer
vision, less attention has focused on 4D data; that is 3D scans of moving non-rigid objects …

Fusion4d: Real-time performance capture of challenging scenes

M Dou, S Khamis, Y Degtyarev, P Davidson… - ACM Transactions on …, 2016 - dl.acm.org
We contribute a new pipeline for live multi-view performance capture, generating temporally
coherent high-quality reconstructions in real-time. Our algorithm supports both incremental …