Reducing the Teknomo-Fernandez pixel processing through Scale Invariant Feature Transform (SIFT) descriptor matching

• 主要作者: FLAVIER, JAVIER TEODORO
• 格式: text
• 出版: Archīum Ateneo 2018
• 主題: Image processing > Digital techniques; Image stabilization; Image processing > Mathematical models; Image analysis > Mathematical models; Computer algorithms.
• 在線閱讀: https://archium.ateneo.edu/theses-dissertations/173; http://rizalls.lib.admu.edu.ph/#section=resource&resourceid=1535876971&currentIndex=0&view=fullDetailsDetailsTab
• 機構: Ateneo De Manila University

The number of pixels processed by the Teknomo-Fernandez (TF3,4) algorithm was reduced through Scale-Invariant Feature Transform (SIFT) feature detection and matching (TF-SIFT). Two (2) TF-SIFT variants were proposed, TF3,4-SIFT3 and TF3,4-SIFT0. Both used TF-based SIFT matching, mask generation, and...