| dc.contributor | 資科系 | en_US |
| dc.creator (作者) | 廖文宏 | zh_TW |
| dc.creator (作者) | Liao,Wen-Hung; S. J. Aggarwal; J. K. Aggarwal | en_US |
| dc.date (日期) | 1997-02 | en_US |
| dc.date.accessioned | 2-Sep-2014 17:19:16 (UTC+8) | - |
| dc.date.available | 2-Sep-2014 17:19:16 (UTC+8) | - |
| dc.date.issued (上傳時間) | 2-Sep-2014 17:19:16 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/69580 | - |
| dc.description.abstract (摘要) | In this paper, we address the analysis of 3D shape and shape change in non-rigid biological objects imaged via a stereo light microscope. We propose an integrated approach for the reconstruction of 3D structure and the motion analysis for images in which only a few informative features are available. The key components of this framework are: 1) image registration using a correlation-based approach, 2) region-of-interest extraction using motion-based segmentation, and 3) stereo and motion analysis using a cooperative spatial and temporal matching process. We describe these three stages of processing and illustrate the efficacy of the proposed approach using real images of a live frog`s ventricle. The reconstructed dynamic 3D structure of the ventricle is demonstrated in our experimental results, and it agrees qualitatively with the observed images of the ventricle. | en_US |
| dc.format.extent | 2009554 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | Machine Vision and Applications,9(4),166-178 | en_US |
| dc.subject (關鍵詞) | Quantitative microscopy;Biomedical image processing;3D structure reconstruction;Non-rigid motion;Cooperative feature matching | en_US |
| dc.title (題名) | The reconstruction of dynamic 3D structure of biological objects using stereo microscope images | en_US |
| dc.type (資料類型) | article | en |
| dc.identifier.doi (DOI) | 10.1007/s001380050038 | en_US |
| dc.doi.uri (DOI) | http://dx.doi.org/10.1007/s001380050038 | en_US |
