Prosiectau fesul blwyddyn
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.
|Teitl||Image Analysis and Recognition|
|Is-deitl||11th International Conference, ICIAR 2014, Vilamoura, Portugal, October 22-24, 2014, Proceedings, Part II|
|Golygyddion||Aurélio Campilho, Mohamed Kamel|
|Nifer y tudalennau||8|
|ISBN (Argraffiad)||978-3-319-11754-6, 3319117548|
|Dynodwyr Gwrthrych Digidol (DOIs)|
|Statws||Cyhoeddwyd - 10 Hyd 2014|
|Enw||Lecture Notes in Computer Science|
Ôl bysGweld gwybodaeth am bynciau ymchwil 'Accurate Multi-View Stereo 3D Reconstruction for Cost-Effective Plant Phenotyping'. Gyda’i gilydd, maen nhw’n ffurfio ôl bys unigryw.
- 2 Wedi Gorffen
01 Ebr 2012 → 31 Maw 2017
Prosiect: Ymchwil a ariannwyd yn allanol