GeoF: Geodesic forests for learning coupled predictors

Peter Kontschieder; Pushmeet Kohli; Jamie Shotton; Antonio Criminisi

GeoF: Geodesic forests for learning coupled predictors

Peter Kontschieder, Pushmeet Kohli, Jamie Shotton, Antonio Criminisi

Institute of Bioproducts and Paper Technology (6610)

Research output: Chapter in Book/Report/Conference proceeding › Conference paper › peer-review

Original language	English
Title of host publication	Conference on Computer Vision and Pattern Recognition
Publisher	.
Pages	65-72
Publication status	Published - 2013
Event	32rd IEEE Conference on Computer Vision and Pattern Recognition: CVPR 2010 - San Francisco, United States Duration: 13 Jun 2010 → 18 Jun 2010

Conference

Conference	32rd IEEE Conference on Computer Vision and Pattern Recognition
Country/Territory	United States
City	San Francisco
Period	13/06/10 → 18/06/10

Fields of Expertise

Information, Communication & Computing

Cite this

@inproceedings{31eb8ed725c848568ae86a23aa01b36d,

title = "GeoF: Geodesic forests for learning coupled predictors",

author = "Peter Kontschieder and Pushmeet Kohli and Jamie Shotton and Antonio Criminisi",

year = "2013",

language = "English",

pages = "65--72",

booktitle = "Conference on Computer Vision and Pattern Recognition",

publisher = ".",

note = "32rd IEEE Conference on Computer Vision and Pattern Recognition : CVPR 2010 ; Conference date: 13-06-2010 Through 18-06-2010",

}

TY - GEN

T1 - GeoF: Geodesic forests for learning coupled predictors

AU - Kontschieder, Peter

AU - Kohli, Pushmeet

AU - Shotton, Jamie

AU - Criminisi, Antonio

PY - 2013

Y1 - 2013

UR - http://www.cv-foundation.org/openaccess/content_cvpr_2013/papers/Kontschieder_GeoF_Geodesic_Forests_2013_CVPR_paper.pdf

M3 - Conference paper

SP - 65

EP - 72

BT - Conference on Computer Vision and Pattern Recognition

PB - .

T2 - 32rd IEEE Conference on Computer Vision and Pattern Recognition

Y2 - 13 June 2010 through 18 June 2010

ER -

GeoF: Geodesic forests for learning coupled predictors

Conference

Fields of Expertise

Other files and links

FWF - FiberMorph - Cross Sectional Pulp Fiber Morphology

Cite this

GeoF: Geodesic forests for learning coupled predictors

Conference

Fields of Expertise

Other files and links

Projects

FWF - FiberMorph - Cross Sectional Pulp Fiber Morphology

Cite this