Imperial College London
Alternate

ProfessorAndrewDavison

Faculty of Engineering, Department of Computing

Professor of Robot Vision
 
 
 
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Contact

 

+44 (0)20 7594 8316a.davison Website

 
 
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Assistant

 

Ms Lucy Atthis +44 (0)20 7594 8259

 
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Location

 

303William Penney LaboratorySouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Nardi:2017,
author = {Nardi, L and Bodin, B and Saeedi, S and Vespa, E and Davison, AJ and Kelly, P},
publisher = {IEEE},
title = {Algorithmic performance-accuracy trade-off in 3D vision applications using hypermapper},
url = {http://hdl.handle.net/10044/1/45399},
year = {2017}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - In  this  paper  we  investigate  an  emerging  appli-cation,  3D  scene  understanding,  likely  to  be  significant  in  themobile  space  in  the  near  future.  The  goal  of  this  explorationis to reduce execution time while meeting our quality of resultobjectives. In previous work, we showed for the first time thatit  is  possible  to  map  this  application  to  power  constrainedembedded  systems,  highlighting  that  decision  choices  made  atthe  algorithmic  design-level  have  the  most  significant  impact.As  the  algorithmic  design  space  is  too  large  to  be  exhaus-tively evaluated, we use a previously introduced multi-objectiverandom  forest  active  learning  prediction  framework  dubbedHyperMapper,   to   find   good   algorithmic   designs.   We   showthat  HyperMapper  generalizes  on  a  recent  cutting  edge  3Dscene  understanding  algorithm  and  on  a  modern  GPU-basedcomputer architecture. HyperMapper is able to beat an experthuman  hand-tuning  the  algorithmic  parameters  of  the  classof  computer  vision  applications  taken  under  consideration  inthis  paper  automatically.  In  addition,  we  use  crowd-sourcingusing a 3D scene understanding Android app to show that thePareto  front  obtained  on  an  embedded  system  can  be  used  toaccelerate the same application on all the 83 smart-phones andtablets  with  speedups  ranging  from  2x  to  over  12x.
AU  - Nardi,L
AU  - Bodin,B
AU  - Saeedi,S
AU  - Vespa,E
AU  - Davison,AJ
AU  - Kelly,P
PB  - IEEE
PY  - 2017///
TI  - Algorithmic performance-accuracy trade-off in 3D vision applications using hypermapper
UR  - http://hdl.handle.net/10044/1/45399
ER  -
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