@book{henke_reconstructing_2014,
	title = {Reconstructing leaf growth based on non-destructive digitizing and low-parametric shape evolution for plant modelling over a growth cycle},
	volume = {48},
	url = {https://www.silvafennica.fi/article/1019},
	abstract = {A simple and efficient photometric methodology is presented, covering all steps from field data acquisition to binarization and allowing for leaf contour modelling. This method comprises the modelling of area and size (correlated and modelled with a Chapman-Richards growth function, using final length as one parameter), and four shape descriptors, from which the entire contour can be reconstructed rather well using a specific spline methodology. As an improvement of this contour modelling method, a set of parameterized polynomials was used. To model the temporal kinetics of the shape, geodesics in shape spaces were employed. Finally it is shown how this methodology is integrated into the 3D modelling platform GroIMP.},
	author = {Henke, Michael and Huckemann, Stephan and Kurth, Winfried and Sloboda, Branislav},
	year = {2014},
	note = {Issue: 2
Publication Title: Silva Fennica
Type: doi:10.14214/sf.1019},
}

{"_id":"tzSbCYost9NzXK2Q2","bibbaseid":"henke-huckemann-kurth-sloboda-reconstructingleafgrowthbasedonnondestructivedigitizingandlowparametricshapeevolutionforplantmodellingoveragrowthcycle-2014","author_short":["Henke, M.","Huckemann, S.","Kurth, W.","Sloboda, B."],"bibdata":{"bibtype":"book","type":"book","title":"Reconstructing leaf growth based on non-destructive digitizing and low-parametric shape evolution for plant modelling over a growth cycle","volume":"48","url":"https://www.silvafennica.fi/article/1019","abstract":"A simple and efficient photometric methodology is presented, covering all steps from field data acquisition to binarization and allowing for leaf contour modelling. This method comprises the modelling of area and size (correlated and modelled with a Chapman-Richards growth function, using final length as one parameter), and four shape descriptors, from which the entire contour can be reconstructed rather well using a specific spline methodology. As an improvement of this contour modelling method, a set of parameterized polynomials was used. To model the temporal kinetics of the shape, geodesics in shape spaces were employed. Finally it is shown how this methodology is integrated into the 3D modelling platform GroIMP.","author":[{"propositions":[],"lastnames":["Henke"],"firstnames":["Michael"],"suffixes":[]},{"propositions":[],"lastnames":["Huckemann"],"firstnames":["Stephan"],"suffixes":[]},{"propositions":[],"lastnames":["Kurth"],"firstnames":["Winfried"],"suffixes":[]},{"propositions":[],"lastnames":["Sloboda"],"firstnames":["Branislav"],"suffixes":[]}],"year":"2014","note":"Issue: 2 Publication Title: Silva Fennica Type: doi:10.14214/sf.1019","bibtex":"@book{henke_reconstructing_2014,\n\ttitle = {Reconstructing leaf growth based on non-destructive digitizing and low-parametric shape evolution for plant modelling over a growth cycle},\n\tvolume = {48},\n\turl = {https://www.silvafennica.fi/article/1019},\n\tabstract = {A simple and efficient photometric methodology is presented, covering all steps from field data acquisition to binarization and allowing for leaf contour modelling. This method comprises the modelling of area and size (correlated and modelled with a Chapman-Richards growth function, using final length as one parameter), and four shape descriptors, from which the entire contour can be reconstructed rather well using a specific spline methodology. As an improvement of this contour modelling method, a set of parameterized polynomials was used. To model the temporal kinetics of the shape, geodesics in shape spaces were employed. Finally it is shown how this methodology is integrated into the 3D modelling platform GroIMP.},\n\tauthor = {Henke, Michael and Huckemann, Stephan and Kurth, Winfried and Sloboda, Branislav},\n\tyear = {2014},\n\tnote = {Issue: 2\nPublication Title: Silva Fennica\nType: doi:10.14214/sf.1019},\n}\n\n","author_short":["Henke, M.","Huckemann, S.","Kurth, W.","Sloboda, B."],"key":"henke_reconstructing_2014","id":"henke_reconstructing_2014","bibbaseid":"henke-huckemann-kurth-sloboda-reconstructingleafgrowthbasedonnondestructivedigitizingandlowparametricshapeevolutionforplantmodellingoveragrowthcycle-2014","role":"author","urls":{"Paper":"https://www.silvafennica.fi/article/1019"},"metadata":{"authorlinks":{}}},"bibtype":"book","biburl":"https://bibbase.org/zotero/mcrimaldi","dataSources":["dq7oSdLvMkrCCarLK"],"keywords":[],"search_terms":["reconstructing","leaf","growth","based","non","destructive","digitizing","low","parametric","shape","evolution","plant","modelling","over","growth","cycle","henke","huckemann","kurth","sloboda"],"title":"Reconstructing leaf growth based on non-destructive digitizing and low-parametric shape evolution for plant modelling over a growth cycle","year":2014}