An error bound of relative image blur analysis

Sheng Wen Shih, Po Shan Kao, Wei Shin Guo

研究成果: 書貢獻/報告類型會議貢獻

3 引文 斯高帕斯(Scopus)

摘要

A lower bound of the relative image blur estimation error of a pair of images is derived analytically in this paper. This error analysis result shows that the optimal camera parameters for obtaining the most accurate depth from defocusing (DFD) results are strongly related to the object depth. Therefore, DFD methods using only two images usually cannot achieve the most accurate depth estimates. Instead of using only two images, a sequence of images focused at different depths should be provided in order to obtain accurate DFD results. With some prior knowledge of the object depth, the derived error bound is used to select optimal image pairs from the input image sequence for computing DFD. Real experimental results show that the resulting DFD method outperforms both a DFF method and a DFD method using two images.
原文英語
主出版物標題Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
編輯J. Kittler, M. Petrou, M. Nixon
頁面100-103
頁數4
DOIs
出版狀態已發佈 - 2004
事件Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004 - Cambridge, 英國
持續時間: 8月 23 20048月 26 2004

出版系列

名字Proceedings - International Conference on Pattern Recognition
4
ISSN(列印)1051-4651

會議

會議Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
國家/地區英國
城市Cambridge
期間8/23/048/26/04

ASJC Scopus subject areas

  • 電腦視覺和模式識別

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