Full 3D Plant Reconstruction via Intrusive Acquisition

Digitally capturing vegetation using off‐the‐shelf scanners is a challenging problem. Plants typically exhibit large self‐occlusions and thin structures which cannot be properly scanned. Furthermore, plants are essentially dynamic, deforming over the time, which yield additional difficulties in the...

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Veröffentlicht in:Computer graphics forum Jg. 35; H. 1; S. 272 - 284
Hauptverfasser: Yin, Kangxue, Huang, Hui, Long, Pinxin, Gaissinski, Alexei, Gong, Minglun, Sharf, Andrei
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Blackwell Publishing Ltd 01.02.2016
Schlagworte:
Acquisitions
Analysis
Foliage
geometric modelling
Image processing systems
Marketing
object scanning/acquisition
Plants (organisms)
Reconstruction
Scanners
Scanning
Studies
surface reconstruction ACM CCS: I.3.5 [Computer Graphics]: Computational Geometry and Object Modeling
Three dimensional
Vegetation mapping
ISSN:0167-7055, 1467-8659
Online-Zugang:Volltext
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Zusammenfassung:Digitally capturing vegetation using off‐the‐shelf scanners is a challenging problem. Plants typically exhibit large self‐occlusions and thin structures which cannot be properly scanned. Furthermore, plants are essentially dynamic, deforming over the time, which yield additional difficulties in the scanning process. In this paper, we present a novel technique for acquiring and modelling of plants and foliage. At the core of our method is an intrusive acquisition approach, which disassembles the plant into disjoint parts that can be accurately scanned and reconstructed offline. We use the reconstructed part meshes as 3D proxies for the reconstruction of the complete plant and devise a global‐to‐local non‐rigid registration technique that preserves specific plant characteristics. Our method is tested on plants of various styles, appearances and characteristics. Results show successful reconstructions with high accuracy with respect to the acquired data. Digitally capturing vegetation using off‐the‐shelf scanners is a challenging problem. Plants typically exhibit large self‐occlusions and thin structures which cannot be properly scanned. Furthermore, plants are essentially dynamic, deforming over the time, which yield additional difficulties in the scanning process. In this paper, we present a novel technique for acquiring and modelling of plants and foliage. At the core of our method is an intrusive acquisition approach, which disassembles the plant into disjoint parts that can be accurately scanned and reconstructed offline.
Bibliographie:National 973 Program - No. 2014CB360503
Guangdong Science and Technology Program - No. 2015A030312015, 2014B050502009, 2014TX01X033
istex:0FE2B8382D7E7F65ACD040B2D56C2B03007E1F09
SIAT Innovation Program for Excellent Young Researchers - No. 201305, 201402
NSERC and the Israel Science Foundation
NSFC - No. 61522213, 61379090, 61202221
ArticleID:CGF12724
ark:/67375/WNG-T018CK1D-6
Shenzhen Innovation Program - No. CXB201104220029A, JCYJ20140901003938994
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
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ISSN:0167-7055
1467-8659
DOI:10.1111/cgf.12724