Here we present PS-Plant, a low-cost and portable 3D plant phenotyping platform based on an imaging technique novel to plant phenotyping called photometric stereo (PS).
Recent work has focused on adopting computer vision and machine learning approaches to improve the accuracy of automated plant phenotyping.
Automated approaches for image capture and analysis have allowed for substantial increases in the throughput of quantitative growth trait measurements compared with manual assessments. Besides the targeting application, the small size of the developed system makes it a very promising candidate for applications with space restrictions, like the quality control in industrial production lines or object recognition based on structural information and in applications where easiness in operation and light-weight are required, like those in the Biomedical field, and especially in dermatology.Tracking and predicting the growth performance of plants in different environments is critical for predicting the impact of global climate change. This metric successfully assesses the focus quality with reduced time requirements in comparison to other well accepted focus metrics. The required interaction with the robot is implemented through the estimation of the Brenner’s focus measure. The preliminary results on a large number of textiles are very promising for the successful integration of the miniature module to the robot system. For the evaluation of this prototype, the classical photometric stereo methodology has been used. The direction of illumination is recovered by locating the reflection or the brightest point on a mirror sphere, while a flatfielding process compensates for the non-uniform illumination. The ambient light has been addressed by a cylindrical enclosure. The synchronization between image acquisition and lighting direction is controlled by an Arduino Nano board and software triggering. It is composed of a low-cost off-the-shelf camera, operating in macro mode, and eight light emitting diodes. The miniature device has been designed for mounting onto the robot gripper. This is a supportive module to a robot system, attempting to solve the well known “laundry problem”. In this work a miniature photometric stereo system is presented, targeting the three-dimensional structural reconstruction of various fabric types. Gorpas, Dimitris Kampouris, Christos Malassiotis, Sotiris
Miniature photometric stereo system for textile surface structure reconstruction Miniature photometric stereo system for textile surface structure reconstruction
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