Quantitative assessment of automatic reconstructions of branching systems obtained from laser scanning | Zendy

Frédéric Boudon | Zendy; Chakkrit Preuksakarn | Zendy; Pascal Ferraro | Zendy; Julien Diener | Zendy; Philippe Nacry | Zendy; Eero Nikinmaa | Zendy; Christophe Godin | Zendy

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Quantitative assessment of automatic reconstructions of branching systems obtained from laser scanning

Author(s) -

Frédéric Boudon,

Chakkrit Preuksakarn,

Pascal Ferraro,

Julien Diener,

Philippe Nacry,

Eero Nikinmaa,

Christophe Godin

Publication year - 2014

Publication title -

annals of botany

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.567

H-Index - 176

eISSN - 1095-8290

pISSN - 0305-7364

DOI - 10.1093/aob/mcu062

Subject(s) - tree (set theory) , branching (polymer chemistry) , computer science , sampling (signal processing) , laser scanning , artificial intelligence , similarity (geometry) , object (grammar) , biology , algorithm , pattern recognition (psychology) , data mining , mathematics , computer vision , image (mathematics) , laser , mathematical analysis , materials science , physics , filter (signal processing) , optics , composite material

Automatic acquisition of plant architecture is a major challenge for the construction of quantitative models of plant development. Recently, 3-D laser scanners have made it possible to acquire 3-D images representing a sampling of an object's surface. A number of specific methods have been proposed to reconstruct plausible branching structures from this new type of data, but critical questions remain regarding their suitability and accuracy before they can be fully exploited for use in biological applications.

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