NDLI: Non-rigid registration using AAM and factorization method for augmented reality applications

Content Provider	IEEE Xplore Digital Library
Author	Yuan Tian Zhongyi Li Wei Liu Lijun Li Tao Guan
Copyright Year	2008
Description	Author affiliation: Digital Eng. & Simulation Res. Center, Huazhong Univ. of Sci. & Technol., Wuhan (Yuan Tian; Zhongyi Li; Wei Liu; Lijun Li; Tao Guan)
Abstract	This paper presents a novel non-rigid registration method for augmented reality applications using AAM and factorization method. The method can be divided into two stages: offline construction of 3D shape basis and online estimation of the 3D pose parameters together with the 3D shape coefficients. In offline stage, we get the training data with the use of the AAM algorithm, then we use factorization method to obtain the object 3D shape basis set from image sequences. In online stage, given an initial 3D shape coefficients and the rotation matrix, we can get the non-rigid object coordinates under the world coordinate systems by projecting the 3D points which are the linear combination of the 3D shape basis to the 2D image. Then we use Levenberg-Marquardt algorithm to optimize the 3D shape coefficients and the 3D pose parameters simultaneously. Some experimental results demonstrate this method is effective and useful for augmented reality applications.
Starting Page	705
Ending Page	709
File Size	161517
Page Count	5
File Format	PDF
ISBN	9781424416509
DOI	10.1109/CSCWD.2008.4537064
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-04-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Active appearance model Augmented reality Shape Computer vision Image sequences Application software Video sequences Training data Face detection Facial features AAM Augmented Reality Computer Vision Registration Factorization Method
Content Type	Text
Resource Type	Article

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