Correlated Active Appearance Models

Author

Tiddeman, Bernard ; Chen, Jingying

Author_Institution

Univ. of St. Andrews, St. Andrews

fYear

2007

fDate

16-18 Dec. 2007

Firstpage

832

Lastpage

838

Abstract

In this paper we describe a novel algorithm for active appearance model (AAM) alignment in which the normalized cross correlation (NCC) is maximized, rather than minimizing the sum of squared errors (SSE). We use an inverse compositional approach and derive an analytic solution rather than rely on an off-the-shelf non-linear optimization routine. We show that the algorithm performs better than traditional AAM fitting in terms of accuracy, stability and speed.

Keywords

correlation methods; image processing; least mean squares methods; optimisation; correlated active appearance models; inverse compositional approach; nonlinear optimization routine; normalized cross correlation; sum of squared errors; Active appearance model; Algorithm design and analysis; Equations; Error correction; Internet; Linear systems; Principal component analysis; Shape; Stability; Taylor series; Active Appearance Models; Normalized Cross Correlation;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal-Image Technologies and Internet-Based System, 2007. SITIS '07. Third International IEEE Conference on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3122-9

Type

conf

DOI

10.1109/SITIS.2007.92

Filename

4618860

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2759131