Representing images of a rotating object with cyclic permutation for view-based pose estimation
Computer Vision and Image Understanding Volume 113 Issue 12
Page 1210-1221
published_at 2009-12
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Title ( eng ) |
Representing images of a rotating object with cyclic permutation for view-based pose estimation
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Creator |
Tanaki Toru
Amano Toshiyuki
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Source Title |
Computer Vision and Image Understanding
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Volume | 113 |
Issue | 12 |
Start Page | 1210 |
End Page | 1221 |
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.
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Keywords |
view-based pose estimation
global appearance
cyclic group
column permutation matrix
block diagonalization
subspace methods
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NDC |
Electrical engineering [ 540 ]
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Language |
eng
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Resource Type | journal article |
Publisher |
Elsevier Inc.
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Date of Issued | 2009-12 |
Rights |
Copyright (c) 2009 Elsevier Inc.
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Publish Type | Author’s Original |
Access Rights | open access |
Source Identifier |
[ISSN] 1077-3142
[NCID] AA11028969
[DOI] 10.1016/j.cviu.2009.06.007
[DOI] http://dx.doi.org/10.1016/j.cviu.2009.06.007
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