Imperial College London
Alternate

DrStefanLeutenegger

Faculty of Engineering, Department of Computing

Visiting Reader
 
 
 
//

Contact

 

s.leutenegger Website

 
 
//

Location

 

ACE ExtensionSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@inproceedings{Kim:2016:10.1007/978-3-319-46466-4_21,
author = {Kim, H and Leutenegger, S and Davison, AJ},
doi = {10.1007/978-3-319-46466-4_21},
pages = {349--364},
publisher = {Springer},
title = {Real-time 3D reconstruction and 6-DoF tracking with an event camera},
url = {http://dx.doi.org/10.1007/978-3-319-46466-4_21},
year = {2016}
}
Download

RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - We propose a method which can perform real-time 3D reconstructionfrom a single hand-held event camera with no additional sensing,and works in unstructured scenes of which it has no prior knowledge.It is based on three decoupled probabilistic filters, each estimating 6-DoFcamera motion, scene logarithmic (log) intensity gradient and scene inversedepth relative to a keyframe, and we build a real-time graph ofthese to track and model over an extended local workspace. We alsoupgrade the gradient estimate for each keyframe into an intensity image,allowing us to recover a real-time video-like intensity sequence withspatial and temporal super-resolution from the low bit-rate input eventstream. To the best of our knowledge, this is the first algorithm provablyable to track a general 6D motion along with reconstruction of arbitrarystructure including its intensity and the reconstruction of grayscale videothat exclusively relies on event camera data.
AU  - Kim,H
AU  - Leutenegger,S
AU  - Davison,AJ
DO  - 10.1007/978-3-319-46466-4_21
EP  - 364
PB  - Springer
PY  - 2016///
SN  - 0302-9743
SP  - 349
TI  - Real-time 3D reconstruction and 6-DoF tracking with an event camera
UR  - http://dx.doi.org/10.1007/978-3-319-46466-4_21
UR  - http://hdl.handle.net/10044/1/38816
ER  -
Download