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
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
ISSN (Argraffiad)0302-9743
ISSN (Electronig)1611-3349
Gweld graff cysylltiadau
Fformatau enwi


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.