Full 3D Plant Reconstruction via Intrusive Acquisition

Kangxue Yin, Hui Huang, Pinxin Long, Alexei Gaissinski, Minglun Gong, Andrei Sharf

Research output: Contribution to journalArticlepeer-review

38 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)272-284
Number of pages13
JournalComputer Graphics Forum
Volume35
Issue number1
DOIs
StatePublished - Feb 2016

Keywords

  • geometric modelling
  • object scanning/acquisition
  • surface reconstruction

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design

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