Fast Active Appearance Model Search Using Canonical Correlation Analysis.Download PDFOpen Website

2006 (modified: 10 Nov 2022)IEEE Trans. Pattern Anal. Mach. Intell.2006Readers: Everyone
Abstract: A fast AAM search algorithm based on canonical correlation analysis (CCA-AAM) is introduced. It efficiently models the dependency between texture residuals and model parameters during search. Experiments show that CCA-AAMs, while requiring similar implementation effort, consistently outperform standard search with regard to convergence speed by a factor of four.
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