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

Conference paper

DOI: 10.1007/978-3-319-11755-3_39

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8815)
Cite this paper as:
Lou L., Liu Y., Han J., Doonan J.H. (2014) Accurate Multi-View Stereo 3D Reconstruction for Cost-Effective Plant Phenotyping. In: Campilho A., Kamel M. (eds) Image Analysis and Recognition. ICIAR 2014. Lecture Notes in Computer Science, vol 8815. Springer, Cham

Abstract

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.

Keywords

Plant phenotyping Multi-view images Structure from motion Stereovision 3D reconstruction 

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Lu Lou
    • 1
  • Yonghuai Liu
    • 1
  • Jiwan Han
    • 2
  • John H. Doonan
    • 2
  1. 1.Department of Computer ScienceAberystwyth UniversityAberystwythUK
  2. 2.NPPC, IBERSAberystwyth UniversityAberystwythUK

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