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pro vyhledávání: '"Dutağacı, Helin"'
Autor:
Mertoğlu, Kerem, Şalk, Yusuf, Sarıkaya, Server Karahan, Turgut, Kaya, Evrenesoğlu, Yasemin, Çevikalp, Hakan, Gerek, Ömer Nezih, Dutağacı, Helin, Rousseau, David
Creation of new annotated public datasets is crucial in helping advances in 3D computer vision and machine learning meet their full potential for automatic interpretation of 3D plant models. In this paper, we introduce PLANesT-3D; a new annotated dat
Externí odkaz:
http://arxiv.org/abs/2407.21150
Autor:
Turgut, Kaya, Dutagaci, Helin
Publikováno v:
Machine Vision and Applications 35, 16 (2024)
Data organization via forming local regions is an integral part of deep learning networks that process 3D point clouds in a hierarchical manner. At each level, the point cloud is sampled to extract representative points and these points are used to b
Externí odkaz:
http://arxiv.org/abs/2303.17338
Autor:
Dutagaci, Helin
In this work, the use of t-SNE is proposed to embed 3D point clouds of plants into 2D space for plant characterization. It is demonstrated that t-SNE operates as a practical tool to flatten and visualize a complete 3D plant model in 2D space. The per
Externí odkaz:
http://arxiv.org/abs/2302.03442
We propose a 3D color point cloud processing pipeline to count apples on individual apple trees in trellis structured orchards. Fruit counting at the tree level requires separating trees, which is challenging in dense orchards. We employ point clouds
Externí odkaz:
http://arxiv.org/abs/2012.13721
Publikováno v:
Plant Methods 18, 20 (2022)
Segmentation of structural parts of 3D models of plants is an important step for plant phenotyping, especially for monitoring architectural and morphological traits. Current state-of-the art approaches rely on hand-crafted 3D local features for model
Externí odkaz:
http://arxiv.org/abs/2012.11489
Publikováno v:
In Biosystems Engineering September 2022 221:138-153
Publikováno v:
In Engineering Science and Technology, an International Journal April 2022 28
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Publikováno v:
In Biosystems Engineering September 2021 209:30-52
Benchmarking of 3D Shape retrieval allows developers and researchers to compare the strengths of different algorithms on a standard dataset. Here we describe the procedures involved in developing a benchmark and issues involved. We then discuss some
Externí odkaz:
http://arxiv.org/abs/1105.3685