Automated Recovery of Three-Dimensional Models of Plant Shoots from Multiple Color Images . Issue 4 (20th October 2014)
- Record Type:
- Journal Article
- Title:
- Automated Recovery of Three-Dimensional Models of Plant Shoots from Multiple Color Images . Issue 4 (20th October 2014)
- Main Title:
- Automated Recovery of Three-Dimensional Models of Plant Shoots from Multiple Color Images
- Authors:
- Pound, Michael P.
French, Andrew P.
Murchie, Erik H.
Pridmore, Tony P. - Abstract:
- Abstract : A fully automatic approach to 3D plant shoot reconstruction uses multiple images taken with a single camera . Abstract: Increased adoption of the systems approach to biological research has focused attention on the use of quantitative models of biological objects. This includes a need for realistic three-dimensional (3D ) representations of plant shoots for quantification and modeling. Previous limitations in single-view or multiple-view stereo algorithms have led to a reliance on volumetric methods or expensive hardware to record plant structure. We present a fully automatic approach to image-based 3D plant reconstruction that can be achieved using a single low-cost camera. The reconstructed plants are represented as a series of small planar sections that together model the more complex architecture of the leaf surfaces. The boundary of each leaf patch is refined using the level-set method, optimizing the model based on image information, curvature constraints, and the position of neighboring surfaces. The reconstruction process makes few assumptions about the nature of the plant material being reconstructed and, as such, is applicable to a wide variety of plant species and topologies and can be extended to canopy-scale imaging. We demonstrate the effectiveness of our approach on data sets of wheat ( Triticum aestivum ) and rice ( Oryza sativa ) plants as well as a unique virtual data set that allows us to compute quantitative measures of reconstruction accuracy.Abstract : A fully automatic approach to 3D plant shoot reconstruction uses multiple images taken with a single camera . Abstract: Increased adoption of the systems approach to biological research has focused attention on the use of quantitative models of biological objects. This includes a need for realistic three-dimensional (3D ) representations of plant shoots for quantification and modeling. Previous limitations in single-view or multiple-view stereo algorithms have led to a reliance on volumetric methods or expensive hardware to record plant structure. We present a fully automatic approach to image-based 3D plant reconstruction that can be achieved using a single low-cost camera. The reconstructed plants are represented as a series of small planar sections that together model the more complex architecture of the leaf surfaces. The boundary of each leaf patch is refined using the level-set method, optimizing the model based on image information, curvature constraints, and the position of neighboring surfaces. The reconstruction process makes few assumptions about the nature of the plant material being reconstructed and, as such, is applicable to a wide variety of plant species and topologies and can be extended to canopy-scale imaging. We demonstrate the effectiveness of our approach on data sets of wheat ( Triticum aestivum ) and rice ( Oryza sativa ) plants as well as a unique virtual data set that allows us to compute quantitative measures of reconstruction accuracy. The output is a 3D mesh structure that is suitable for modeling applications in a format that can be imported in the majority of 3D graphics and software packages. … (more)
- Is Part Of:
- Plant physiology. Volume 166:Issue 4(2014)
- Journal:
- Plant physiology
- Issue:
- Volume 166:Issue 4(2014)
- Issue Display:
- Volume 166, Issue 4 (2014)
- Year:
- 2014
- Volume:
- 166
- Issue:
- 4
- Issue Sort Value:
- 2014-0166-0004-0000
- Page Start:
- 1688
- Page End:
- 1698
- Publication Date:
- 2014-10-20
- Subjects:
- Plant physiology -- Periodicals
Botany -- Periodicals
Periodicals
Electronic journals
571.2 - Journal URLs:
- https://academic.oup.com/plphys/issue ↗
http://www.plantphysiol.org/ ↗
http://www.jstor.org/journals/00320889.html ↗
http://www.pubmedcentral.nih.gov/tocrender.fcgi?journal=69 ↗
http://www-us.ebsco.com/online/direct.asp?JournalID=101725 ↗
http://www.oxfordjournals.org/ ↗ - DOI:
- 10.1104/pp.114.248971 ↗
- Languages:
- English
- ISSNs:
- 0032-0889
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16342.xml