DRO

Bayesian image understanding: From images to virtual forests

Caelli, Terry, Cheng, L and Fang, Q 2005, Bayesian image understanding: From images to virtual forests, International Journal of Robotics and Automation, vol. 20, no. 1, pp. 14-24, doi: 10.2316/journal.206.2005.1.206-2772.


Title Bayesian image understanding: From images to virtual forests
Author(s) Caelli, TerryORCID iD for Caelli, Terry orcid.org/0000-0001-9281-2556
Cheng, L
Fang, Q
Journal name International Journal of Robotics and Automation
Volume number 20
Issue number 1
Start page 14
End page 24
Total pages 11
Publisher ACTA PRESS
Place of publication Halifax, CANADA
Publication date 2005-01-01
ISSN 0826-8185
1925-7090
Keyword(s) Science & Technology
Technology
Automation & Control Systems
Robotics
Image Understanding
Bayesian method
CAD-based vision
forestry photo interpretation
stochastic L-system
MARKOV
EXTRACTION
MODEL
Language eng
DOI 10.2316/journal.206.2005.1.206-2772
Indigenous content off
Field of Research 08 Information and Computing Sciences
09 Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30138412

Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 1 times in TR Web of Science
Scopus Citation Count Cited 1 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 8 Abstract Views  -  Detailed Statistics
Created: Mon, 08 Jun 2020, 14:47:51 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.