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dc.contributor.authorYin, Kangxueen_US
dc.contributor.authorHuang, Huien_US
dc.contributor.authorLong, Pinxinen_US
dc.contributor.authorGaissinski, Alexeien_US
dc.contributor.authorGong, Minglunen_US
dc.contributor.authorSharf, Andreien_US
dc.contributor.editorChen, Min and Zhang, Hao (Richard)en_US
dc.date.accessioned2016-03-01T14:13:10Z
dc.date.available2016-03-01T14:13:10Z
dc.date.issued2016en_US
dc.identifier.urihttp://dx.doi.org/10.1111/cgf.12724en_US
dc.description.abstractDigitally 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.en_US
dc.publisherCopyright © 2016 The Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectobject scanning/acquisitionen_US
dc.subjectgeometric modellingen_US
dc.subjectsurface reconstruction ACM CCS: I.3.5 [Computer Graphics]: Computational Geometry and Object Modelingen_US
dc.titleFull 3D Plant Reconstruction via Intrusive Acquisitionen_US
dc.description.seriesinformationComputer Graphics Forumen_US
dc.description.sectionheadersArticlesen_US
dc.description.volume35en_US
dc.description.number1en_US
dc.identifier.doi10.1111/cgf.12724en_US


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