RANSAC-Like Algorithms for Robust PCA
碩士 === 國立清華大學 === 資訊工程學系 === 94 === In this thesis, we propose RANSAC [6] (RANdom SAmple Consensus) based approaches to achieve robust PCA [1] (Principal Component Analysis) for data containing outliers. This problem is related to a variety of vision applications that require data analysis or subspa...
| Main Authors: | , |
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| Format: | Others |
| Language: | en_US |
| Published: |
2006
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| Online Access: | http://ndltd.ncl.edu.tw/handle/67080163111112903333 |