Plant phenotyping using multi-view stereo vision with structured lights

Thuy Tuong Nguyen; David C. Slaughter; Julin N. Maloof; Neelima Sinha

doi:10.1117/12.2229513

17 May 2016 Plant phenotyping using multi-view stereo vision with structured lights

Thuy Tuong Nguyen, David C. Slaughter, Julin N. Maloof, Neelima Sinha

Proceedings Volume 9866, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping; 986608 (2016) https://doi.org/10.1117/12.2229513
Event: SPIE Commercial + Scientific Sensing and Imaging, 2016, Baltimore, MD, United States

Abstract

A multi-view stereo vision system for true 3D reconstruction, modeling and phenotyping of plants was created that successfully resolves many of the shortcomings of traditional camera-based 3D plant phenotyping systems. This novel system incorporates several features including: computer algorithms, including camera calibration, excessive-green based plant segmentation, semi-global stereo block matching, disparity bilateral filtering, 3D point cloud processing, and 3D feature extraction, and hardware consisting of a hemispherical superstructure designed to hold five stereo pairs of cameras and a custom designed structured light pattern illumination system. This system is nondestructive and can extract 3D features of whole plants modeled from multiple pairs of stereo images taken at different view angles. The study characterizes the systems phenotyping performance for 3D plant features: plant height, total leaf area, and total leaf shading area. For plants having specified leaf spacing and size, the algorithms used in our system yielded satisfactory experimental results and demonstrated the ability to study plant development where the same plants were repeatedly imaged and phenotyped over the time.

Citation Download Citation

Thuy Tuong Nguyen, David C. Slaughter, Julin N. Maloof, and Neelima Sinha "Plant phenotyping using multi-view stereo vision with structured lights", Proc. SPIE 9866, Autonomous Air and Ground Sensing Systems for Agricultural Optimization and Phenotyping, 986608 (17 May 2016); https://doi.org/10.1117/12.2229513

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available