--- res: bibo_abstract: - We study the 3D reconstruction of plant roots from multiple 2D images. To meet the challenge caused by the delicate nature of thin branches, we make three innovations to cope with the sensitivity to image quality and calibration. First, we model the background as a harmonic function to improve the segmentation of the root in each 2D image. Second, we develop the concept of the regularized visual hull which reduces the effect of jittering and refraction by ensuring consistency with one 2D image. Third, we guarantee connectedness through adjustments to the 3D reconstruction that minimize global error. Our software is part of a biological phenotype/genotype study of agricultural root systems. It has been tested on more than 40 plant roots and results are promising in terms of reconstruction quality and efficiency.@eng bibo_authorlist: - foaf_Person: foaf_givenName: Ying foaf_name: Zheng, Ying foaf_surname: Zheng - foaf_Person: foaf_givenName: Steve foaf_name: Gu, Steve foaf_surname: Gu - foaf_Person: foaf_givenName: Herbert foaf_name: Edelsbrunner, Herbert foaf_surname: Edelsbrunner foaf_workInfoHomepage: http://www.librecat.org/personId=3FB178DA-F248-11E8-B48F-1D18A9856A87 orcid: 0000-0002-9823-6833 - foaf_Person: foaf_givenName: Carlo foaf_name: Tomasi, Carlo foaf_surname: Tomasi - foaf_Person: foaf_givenName: Philip foaf_name: Benfey, Philip foaf_surname: Benfey bibo_doi: 10.1109/ICCV.2011.6126475 dct_date: 2011^xs_gYear dct_language: eng dct_publisher: IEEE@ dct_title: Detailed reconstruction of 3D plant root shape@ ...