Two-phase Relaxation with Fuzzy Split-and-merge Contraption

碩士 === 國立臺灣師範大學 === 資訊教育研究所 === 83 ===   We endow general structural relaxation schemes with a number of novel features: (a) the capability of invariance under affine transformations (including rotation, translation, and scaling), (b) the competence of handling multiple objects with incomplete shap...

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Main Authors: Chen, Jin-Jinn, 陳金進
Other Authors: Chen, Sei-Wang
Format: Others
Language:zh-TW
Published: 1995
Online Access:http://ndltd.ncl.edu.tw/handle/28474231878335434177
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spelling ndltd-TW-083NTNU33950012015-10-13T12:26:21Z http://ndltd.ncl.edu.tw/handle/28474231878335434177 Two-phase Relaxation with Fuzzy Split-and-merge Contraption 含分割與合併機制的兩階段式鬆弛法 Chen, Jin-Jinn 陳金進 碩士 國立臺灣師範大學 資訊教育研究所 83   We endow general structural relaxation schemes with a number of novel features: (a) the capability of invariance under affine transformations (including rotation, translation, and scaling), (b) the competence of handling multiple objects with incomplete shapes, (c) a two-way framework in which both consistency and correctness of feature mapping are improved, and (d) a fuzzy split-and-merge mechanism that significantly reduces the computational complexity. Experimental results have revealed the robustness and efficiency of the proposed scheme in dealing with multiple-object scences. The outcomes of the algorithm are good enough for being used in the task of high level fearture matching in object recognition.   Index Terms-Structural relaxation scheme, Affine transformation, Mutual occlusion, Two-way relaxation, Fuzzy split-and-merge contraption, Subtended angles Chen, Sei-Wang 陳世旺 1995 學位論文 ; thesis 37 zh-TW
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language zh-TW
format Others
sources NDLTD
description 碩士 === 國立臺灣師範大學 === 資訊教育研究所 === 83 ===   We endow general structural relaxation schemes with a number of novel features: (a) the capability of invariance under affine transformations (including rotation, translation, and scaling), (b) the competence of handling multiple objects with incomplete shapes, (c) a two-way framework in which both consistency and correctness of feature mapping are improved, and (d) a fuzzy split-and-merge mechanism that significantly reduces the computational complexity. Experimental results have revealed the robustness and efficiency of the proposed scheme in dealing with multiple-object scences. The outcomes of the algorithm are good enough for being used in the task of high level fearture matching in object recognition.   Index Terms-Structural relaxation scheme, Affine transformation, Mutual occlusion, Two-way relaxation, Fuzzy split-and-merge contraption, Subtended angles
author2 Chen, Sei-Wang
author_facet Chen, Sei-Wang
Chen, Jin-Jinn
陳金進
author Chen, Jin-Jinn
陳金進
spellingShingle Chen, Jin-Jinn
陳金進
Two-phase Relaxation with Fuzzy Split-and-merge Contraption
author_sort Chen, Jin-Jinn
title Two-phase Relaxation with Fuzzy Split-and-merge Contraption
title_short Two-phase Relaxation with Fuzzy Split-and-merge Contraption
title_full Two-phase Relaxation with Fuzzy Split-and-merge Contraption
title_fullStr Two-phase Relaxation with Fuzzy Split-and-merge Contraption
title_full_unstemmed Two-phase Relaxation with Fuzzy Split-and-merge Contraption
title_sort two-phase relaxation with fuzzy split-and-merge contraption
publishDate 1995
url http://ndltd.ncl.edu.tw/handle/28474231878335434177
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