Accurate Multi-View Stereo 3D Reconstruction for Cost-Effective Plant Phenotyping

Awduron Sefydliadau
Math Trafodion Cynhadledd (Nid-Cyfnodolyn fathau)
Iaith wreiddiolSaesneg
TeitlImage Analysis and Recognition
Is-deitl11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, Proceedings, Part II
GolygyddionAurélio Campilho, Mohamed Kamel
CyhoeddwrSpringer Nature
Tudalennau349-356
Nifer y tudalennau8
ISBN (Electronig)978-3-319-11755-3
ISBN (Argraffiad)978-3-319-11754-6, 3319117548
Dangosyddion eitem ddigidol (DOIs)
StatwsCyhoeddwyd - 10 Hyd 2014

Cyfres gyhoeddiadau

EnwLecture Notes in Computer Science
Cyfrol8815
ISSN (Argraffiad)0302-9743
ISSN (Electronig)1611-3349
Cysylltiadau
Handle.net
Gweld graff cysylltiadau
Fformatau enwi

Crynodeb

Phenotyping, which underpins much of plant biology and breeding, involves the measurement of characteristics or traits. Traditionally, this has been often destructive and/or subjective but the dynamic objective measurement of traits as they change in response to genetic mutation or environmental influences is an important goal. 3-D imaging technologies are increasingly incorporated into mass produced consumer goods (3D laser scanning, structured light and digital photography) and may represent a cost-effective alternative to current commercial phenotyping platforms. We evaluate their performance, cost and practicability for plant phenotyping and present a 3D reconstruction method for plants from multi-view images acquired with domestic quality cameras. We exploit an efficient Structure-From-Motion followed by stereo matching and depth-map merging processes. Experimental results show that the proposed method is flexible, adaptable and inexpensive, and promising as an generalized groundwork for phenotyping various plant species.

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