The code and test datasets are provided in [ 16 ] . Within [ 16 ] , are some example data and two programs: aruco-pattern-write and camera-as-scanner . To prepare for the experiments, download the example data and install the code (C++ code as well as a Docker image are provided).
Open resource ↗lines:54-78Paper record
Using cameras for precise measurement of two-dimensional plant features: CASS
arXiv · 30 Apr 2019 · 10.48550/arxiv.1904.13187
Abstract
Images are used frequently in plant phenotyping to capture measurements. This chapter offers a repeatable method for capturing two-dimensional measurements of plant parts in field or laboratory settings using a variety of camera styles (cellular phone, DSLR), with the addition of a printed calibration pattern. The method is based on calibrating the camera using information available from the EXIF tags from the image, as well as visual information from the pattern. Code is provided to implement the method, as well as a dataset for testing. We include steps to verify protocol correctness by imaging an artifact. The use of this protocol for two-dimensional plant phenotyping will allow data capture from different cameras and environments, with comparison on the same physical scale. We abbreviate this method as CASS, for CAmera aS Scanner. Code and data is available at http://doi.org/10.5281/zenodo.3677473.
Code and data availability