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題名 Reconstruction of dynamic 3-D structures of biological objects using stereo microscopy
作者 Liao, Wen-hung;Aggarwal, Jake K.;Aggarwal, Shanti J.
廖文宏
貢獻者 資科系
日期 1994
上傳時間 17-Jun-2015 16:38:10 (UTC+8)
摘要 The authors address the analysis of three dimensional shape and shape change in nonrigid biological objects imaged via a stereo light microscope (SLM). Most existing stereo or motion analysis techniques cannot be applied to microscopic biological images because they usually lack salient features. The authors propose an integrated approach for the reconstruction of 3D structures and motion analysis for scenes where only a few informative features are available. The key components of this framework are: (1) image registration, (2) region-of-interest extraction, and (3) stereo and motion analysis using a cooperative spatial and temporal matching process. The authors 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 3-D structures of the ventricle are demonstrated in the authors` experimental results
關聯 Image Processing, IEEE International Conference - ICIP
資料類型 conference
DOI http://dx.doi.org/10.1109/ICIP.1994.413792
dc.contributor 資科系-
dc.creator (作者) Liao, Wen-hung;Aggarwal, Jake K.;Aggarwal, Shanti J.-
dc.creator (作者) 廖文宏-
dc.date (日期) 1994-
dc.date.accessioned 17-Jun-2015 16:38:10 (UTC+8)-
dc.date.available 17-Jun-2015 16:38:10 (UTC+8)-
dc.date.issued (上傳時間) 17-Jun-2015 16:38:10 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/75907-
dc.description.abstract (摘要) The authors address the analysis of three dimensional shape and shape change in nonrigid biological objects imaged via a stereo light microscope (SLM). Most existing stereo or motion analysis techniques cannot be applied to microscopic biological images because they usually lack salient features. The authors propose an integrated approach for the reconstruction of 3D structures and motion analysis for scenes where only a few informative features are available. The key components of this framework are: (1) image registration, (2) region-of-interest extraction, and (3) stereo and motion analysis using a cooperative spatial and temporal matching process. The authors 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 3-D structures of the ventricle are demonstrated in the authors` experimental results-
dc.format.extent 129 bytes-
dc.format.mimetype text/html-
dc.relation (關聯) Image Processing, IEEE International Conference - ICIP-
dc.title (題名) Reconstruction of dynamic 3-D structures of biological objects using stereo microscopy-
dc.type (資料類型) conferenceen
dc.identifier.doi (DOI) 10.1109/ICIP.1994.413792-
dc.doi.uri (DOI) http://dx.doi.org/10.1109/ICIP.1994.413792-