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ID 27686
file
creator
Tanaki, Toru
Amano, Toshiyuki
subject
view-based pose estimation
global appearance
cyclic group
column permutation matrix
block diagonalization
subspace methods
NDC
Electrical engineering
abstract
In this paper, we propose a novel approach using a cyclic group to model the appearance change in an image sequence of an object rotated about an arbitrary axis (1DOF out-of-plane rotation). In the sequence, an image xj is followed by an image xj+1. We represent the relationship between images by a cyclic group as xj+1 = Gxj , and obtain the matrix G by real block diagonalization. Then, G to the power of a real number is used to represent the image sequence and also for pose estimation. Two estimation methods are proposed and evaluated with real image sequences from the COIL-20, COIL-100, and ALOI datasets, and also compared to the Parametric Eigenspace method. Additionally, we discuss the relationship of the proposed approach to the pixel-wise Discrete Fourier Transform (DFT) and to linear regression, and also outline several extensions.
journal title
Computer Vision and Image Understanding
volume
Volume 113
issue
Issue 12
start page
1210
end page
1221
date of issued
2009-12
publisher
Elsevier Inc.
issn
1077-3142
ncid
publisher doi
language
eng
nii type
Journal Article
HU type
Journal Articles
DCMI type
text
format
application/pdf
text version
author
rights
Copyright (c) 2009 Elsevier Inc.
relation is version of URL
http://dx.doi.org/10.1016/j.cviu.2009.06.007
department
Graduate School of Engineering