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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Vydáno v:	Computer graphics forum Ročník 35; číslo 1; s. 272 - 284
Hlavní autoři:	Yin, Kangxue, Huang, Hui, Long, Pinxin, Gaissinski, Alexei, Gong, Minglun, Sharf, Andrei
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Oxford Blackwell Publishing Ltd 01.02.2016
Témata:	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
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Popis
Shrnutí:	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.
Bibliografie:	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 content type line 14 content type line 23
ISSN:	0167-7055 1467-8659
DOI:	10.1111/cgf.12724