Detail of Publication
| Text Language | Japanese |
|---|---|
| Authors | Reita Imayoshi, Yuzuko Utsumi, Masakazu Iwamura |
| Title | Time-Series Tracking of Plant Organs Based on the Temporal Correlation of 3D Gaussian |
| Journal | 第29回 画像の認識・理解シンポジウム（MIRU2026）予稿集 |
| Presentation number | IS3-038 |
| Pages | p.97 |
| Number of Pages | 5 pages |
| Location | 出島メッセ長崎 |
| Reviewed or not | Not reviewed |
| Presentation type | Poster |
| Month & Year | August 2026 |
| Abstract | This study aims to track individual plant organs in 3D time-series data, which is crucial for yield prediction and growth diagnosis. Because plants are non-rigid objects whose growth involves topological changes, conventional object tracking methods cannot be applied, and organ tracking has not yet been achieved. Therefore, in this study, we represent 3D time-series plant data as 3D Gaussians and propose a method for tracking based on the temporal changes in the group of Gaussians representing the organs. |
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- Entry for BibTeX
@InCollection{Imayoshi2026, author = {Reita Imayoshi and Yuzuko Utsumi and Masakazu Iwamura}, title = {Time-Series Tracking of Plant Organs Based on the Temporal Correlation of 3D Gaussian}, booktitle = {第29回 画像の認識・理解シンポジウム（MIRU2026）予稿集}, year = 2026, month = aug, presenID = {IS3-038}, pages = {97}, numpages = {5}, location = {出島メッセ長崎} }