Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/104485
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Type: Journal article
Title: Efficient guided hypothesis generation for multi-structure epipolar geometry estimation
Author: Lai, T.
Wang, H.
Yan, Y.
Xiao, G.
Suter, D.
Citation: Computer Vision and Image Understanding, 2017; 154:152-165
Publisher: Elsevier
Issue Date: 2017
ISSN: 1077-3142
1090-235X
Statement of
Responsibility: 
Taotao Lai, Hanzi Wang, Yan Yan , Guobao Xiao, David Suter
Abstract: Abstract not available
Keywords: Epipolar geometry estimation; multiple structures; guided sampling; joint feature distributions
Rights: © 2016 Elsevier Inc. All rights reserved.
RMID: 0030057456
DOI: 10.1016/j.cviu.2016.10.003
Grant ID: http://purl.org/au-research/grants/arc/DP130102524
Appears in Collections:Computer Science publications

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