Procedings of the Proceedings of the Computer Vision Problems in Plant Phenotyping Workshop 2015
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Published By British Machine Vision Association

1901725553

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Gaussian Process Shape Models for Bayesian Segmentation of Plant Leaves

Procedings of the Proceedings of the Computer Vision Problems in Plant Phenotyping Workshop 2015 ◽

10.5244/c.29.cvppp.4 ◽

2015 ◽

Cited By ~ 4

Author(s):

Kyle Simek ◽

Kobus Barnard

Keyword(s):

Gaussian Process ◽

Plant Leaves ◽

Shape Models ◽

Bayesian Segmentation

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Learning to Count Leaves in Rosette Plants

Procedings of the Proceedings of the Computer Vision Problems in Plant Phenotyping Workshop 2015 ◽

10.5244/c.29.cvppp.1 ◽

2015 ◽

Cited By ~ 28

Author(s):

Mario Valerio Giuffrida ◽

Massimo Minervini ◽

Sotirios Tsaftaris

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3D Surface Reconstruction of Plant Seeds by Volume Carving

Procedings of the Proceedings of the Computer Vision Problems in Plant Phenotyping Workshop 2015 ◽

10.5244/c.29.cvppp.7 ◽

2015 ◽

Cited By ~ 2

Author(s):

Johanna Roussel ◽

Andreas Fischbach ◽

Siegfried Jahnke ◽

Hanno Scharr

Keyword(s):

Surface Reconstruction ◽

3D Surface Reconstruction ◽

Plant Seeds ◽

3D Surface

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Counting leaves without ``finger-counting'' by supervised multiscale frequency analysis of depth images from top view

Procedings of the Proceedings of the Computer Vision Problems in Plant Phenotyping Workshop 2015 ◽

10.5244/c.29.cvppp.2 ◽

2015 ◽

Cited By ~ 1

Author(s):

David Rousseau ◽

Henricus J. Van de Zedde

Keyword(s):

Frequency Analysis ◽

Depth Images ◽

Finger Counting ◽

Top View

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An interactive tool for semi-automated leaf annotation

Procedings of the Proceedings of the Computer Vision Problems in Plant Phenotyping Workshop 2015 ◽

10.5244/c.29.cvppp.6 ◽

2015 ◽

Cited By ~ 7

Author(s):

Massimo Minervini ◽

Mario Valerio Giuffrida ◽

Sotirios Tsaftaris

Keyword(s):

Interactive Tool

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Utilizing machine learning approaches to improve the prediction of leaf counts and individual leaf segmentation of rosette plant images

Procedings of the Proceedings of the Computer Vision Problems in Plant Phenotyping Workshop 2015 ◽

10.5244/c.29.cvppp.3 ◽

2015 ◽

Cited By ~ 16

Author(s):

Jean-Michel Pape ◽

Christian Klukas

Keyword(s):

Machine Learning ◽

Learning Approaches ◽

Individual Leaf ◽

Rosette Plant ◽

Leaf Segmentation

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Fuzzy c-means based plant segmentation with distance dependent threshold

Procedings of the Proceedings of the Computer Vision Problems in Plant Phenotyping Workshop 2015 ◽

10.5244/c.29.cvppp.5 ◽

2015 ◽

Cited By ~ 1

Author(s):

Mads Dyrmann

Keyword(s):

Fuzzy C Means

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Procedings of the Proceedings of the Computer Vision Problems in Plant Phenotyping Workshop 2015Latest Publications

TOTAL DOCUMENTS

H-INDEX

Published By British Machine Vision Association

Gaussian Process Shape Models for Bayesian Segmentation of Plant Leaves

Learning to Count Leaves in Rosette Plants

3D Surface Reconstruction of Plant Seeds by Volume Carving

Counting leaves without ``finger-counting'' by supervised multiscale frequency analysis of depth images from top view

An interactive tool for semi-automated leaf annotation

Utilizing machine learning approaches to improve the prediction of leaf counts and individual leaf segmentation of rosette plant images

Fuzzy c-means based plant segmentation with distance dependent threshold

Procedings of the Proceedings of the Computer Vision Problems in Plant Phenotyping Workshop 2015
Latest Publications