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Abstract
This paper discusses a reconstruction challenge held as a part of the second 3D Reconstruction meets Semantics workshop (3DRMS). The challenge goals and datasets are introduced, including both synthetic and real data from outdoor scenes, here represented by gardens with a variety of bushes, trees, other plants and objects. Both qualitative and quantitative evaluation of the challenge participants' submissions is given in categories of geometric and semantic accuracy. Finally, comparison of submitted results with baseline methods is given, showing a modest performance increase in some of the categories.
Original language | English |
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Title of host publication | Computer Vision -- ECCV 2018 Workshops |
Editors | Laura Leal-Taixé, Stefan Roth |
Place of Publication | Cham |
Publisher | Springer |
Pages | 631-644 |
Number of pages | 14 |
ISBN (Print) | 978-3-030-11015-4 |
DOIs | |
Publication status | Published - 2019 |
Event | European Conference on Computer Vision 2018 - Munich, Germany Duration: 8 Sept 2018 → 14 Sept 2018 https://eccv2018.org/ |
Publication series
Name | Lecture Notes in Computer Science |
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Volume | 11131 |
ISSN (Print) | 0302-9743 |
ISSN (Electronic) | 1611-3349 |
Conference
Conference | European Conference on Computer Vision 2018 |
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Abbreviated title | ECCV 2018 |
Country/Territory | Germany |
City | Munich |
Period | 8/09/18 → 14/09/18 |
Internet address |
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TrimBot2020-A gardening robot for rose, hedge and topiary trimming (coordinating)
1/01/16 → 31/12/19
Project: Research