High-resolution plant shape measurements from multi-view stereo reconstruction
Klodt M, Cremers D (2015)
Publication Type: Conference contribution
Publication year: 2015
Journal
Publisher: Springer Verlag
Book Volume: 8928
Pages Range: 174-184
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Zurich, CHE
ISBN: 9783319162195
DOI: 10.1007/978-3-319-16220-1_13
Abstract
Accurate high-resolution 3D models are essential for a noninvasive analysis of phenotypic characteristics of plants. Leaf surface areas, fruit volumes and leaf inclination angles are typically of interest. This work presents a globally optimal 3D geometry reconstruction method that is specialized to high-resolutions and is thus suitable to reconstruct thin structures typically occuring in the geometry of plants. Volumetric 3D models are computed in a convex optimization framework from a set of RGB input images depicting the plant from different view points. The method uses the memory and run-time efficient octree data structure for fast computations of high-resolution 3D models. Results show accurate 3D reconstructions of barley, while an increase in resolution of a factor of up to 2000 is achieved in comparison to the use of a uniform voxel based data structure, making the choice of data structure crucial for feasible resolutions.
Involved external institutions
Germany (DE)How to cite
APA:
Klodt, M., & Cremers, D. (2015). High-resolution plant shape measurements from multi-view stereo reconstruction. In Lourdes Agapito, Michael M. Bronstein, Carsten Rother (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 174-184). Zurich, CHE: Springer Verlag.
MLA:
Klodt, Maria, and Daniel Cremers. "High-resolution plant shape measurements from multi-view stereo reconstruction." Proceedings of the 13th European Conference on Computer Vision, ECCV 2014, Zurich, CHE Ed. Lourdes Agapito, Michael M. Bronstein, Carsten Rother, Springer Verlag, 2015. 174-184.
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