All Outputs (6)

Three-dimensional reconstruction of plant shoots from multiple images using an active vision system (2015)
Journal Article
Gibbs, J., Pound, M. P., Wells, D. M., Murchie, E. H., French, A. P., & Pridmore, T. P. (2015). Three-dimensional reconstruction of plant shoots from multiple images using an active vision system

The reconstruction of 3D models of plant shoots is a challenging problem central to the emerging discipline of plant phenomics – the quantitative measurement of plant structure and function. Current approaches are, however, often limited by the use o... Read More about Three-dimensional reconstruction of plant shoots from multiple images using an active vision system.

TRIC-track: tracking by regression with incrementally learned cascades (2015)
Conference Proceeding
Wang, X., Valstar, M. F., Martinez, B., Khan, M. H., & Pridmore, T. (2015). TRIC-track: tracking by regression with incrementally learned cascades. In 2015 IEEE International Conference on Computer Vision (ICCV) (4337-4345). https://doi.org/10.1109/ICCV.2015.493

This paper proposes a novel approach to part-based track- ing by replacing local matching of an appearance model by direct prediction of the displacement between local image patches and part locations. We propose to use cascaded regression with incre... Read More about TRIC-track: tracking by regression with incrementally learned cascades.

Visual tracking for the recovery of multiple interacting plant root systems from X-ray ?CT images (2015)
Journal Article
Mairhofer, S., Johnson, J., Sturrock, C., Bennett, M. J., Mooney, S. J., & Pridmore, T. P. (2016). Visual tracking for the recovery of multiple interacting plant root systems from X-ray ?CT images. Machine Vision and Applications, 27(5), 721-734. https://doi.org/10.1007/s00138-015-0733-7

We propose a visual object tracking framework for the extraction of multiple interacting plant root systems from three-dimensional X-ray micro computed tomography images of plants grown in soil. Our method is based on a level set framework guided by... Read More about Visual tracking for the recovery of multiple interacting plant root systems from X-ray ?CT images.

Extracting multiple interacting root systems using X-ray microcomputed tomography (2015)
Journal Article
Mairhofer, S., Sturrock, C., Mooney, S. J., Pridmore, T. P., & Bennett, M. J. (2015). Extracting multiple interacting root systems using X-ray microcomputed tomography. Plant Journal, 84(5), 1034-1043. https://doi.org/10.1111/tpj.13047

© 2015 The Authors The Plant Journal published by Society for Experimental Biology and John Wiley & Sons Ltd. Root system interactions and competition for resources are active areas of research that contribute to our understanding of how roots perc... Read More about Extracting multiple interacting root systems using X-ray microcomputed tomography.

High-Resolution Three-Dimensional Structural Data Quantify the Impact of Photoinhibition on Long-Term Carbon Gain in Wheat Canopies in the Field (2015)
Journal Article
Burgess, A. J., Retkute, R., Pound, M. P., Foulkes, J., Preston, S. P., Jensen, O. E., …Murchie, E. H. (2015). High-Resolution Three-Dimensional Structural Data Quantify the Impact of Photoinhibition on Long-Term Carbon Gain in Wheat Canopies in the Field. Plant Physiology, 169(2), 1192-1204. https://doi.org/10.1104/pp.15.00722

Photoinhibition reduces photosynthetic productivity; however, it is difficult to quantify accurately in complex canopies partly because of a lack of high-resolution structural data on plant canopy architecture, which determines complex fluctuations o... Read More about High-Resolution Three-Dimensional Structural Data Quantify the Impact of Photoinhibition on Long-Term Carbon Gain in Wheat Canopies in the Field.

Root system markup language: Toward a unified root architecture description language (2015)
Journal Article
Meunier, F., Lobet, G., Pound, M. P., Diener, J., Pradal, C., Draye, X., …Schnepf, A. (2015). Root system markup language: Toward a unified root architecture description language. Plant Physiology, 167(3), 617-627. https://doi.org/10.1104/pp.114.253625

© 2015 American Society of Plant Biologists. All rights reserved. The number of image analysis tools supporting the extraction of architectural features of root systems has increased in recent years. These tools offer a handy set of complementary fac... Read More about Root system markup language: Toward a unified root architecture description language.