7 research outputs found
A model-based approach to recovering the structure of a plant from images
We present a method for recovering the structure of a plant directly from a
small set of widely-spaced images. Structure recovery is more complex than
shape estimation, but the resulting structure estimate is more closely related
to phenotype than is a 3D geometric model. The method we propose is applicable
to a wide variety of plants, but is demonstrated on wheat. Wheat is made up of
thin elements with few identifiable features, making it difficult to analyse
using standard feature matching techniques. Our method instead analyses the
structure of plants using only their silhouettes. We employ a generate-and-test
method, using a database of manually modelled leaves and a model for their
composition to synthesise plausible plant structures which are evaluated
against the images. The method is capable of efficiently recovering accurate
estimates of plant structure in a wide variety of imaging scenarios, with no
manual intervention
Book Chapter : Precision Weed Management , in \u3cem\u3eWomen in Precision Agriculture\u3c/em\u3e
Chapter 5: Precision Weed Management in
Women in Precision Agriculture : Technological breakthroughs , Challenges and Aspirations for a Prosperous and Sustainable Future (Takoi Khemais Hamrita, Editor