| Paper Abstract and Keywords |
| Presentation |
2017-02-18 11:15
Accurate Feature Point Tracking using Local Invariant Features for Omnidirectional Image Sequence
Hiroshi Tada, Koichi Ichige (YNU) |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
In this paper, we propose a highly accurate feature point tracking method for omnidirectional image sequence. It is often difficult to extract and track feature points because of nonlinear distortion of omnidirectional images. We have already proposed a method of tracking feature points after transforming the vicinity of a feature point into perspective projection, but sometimes tracking performance was not accurate. In the proposed method, feature points are extracted from each face of regular icosahedron on which omnidirectional image is projected. Furthermore we introduce ASIFT into the patch, which enables robust tracking of deformation. Performance of the proposed method is evaluated through experiments. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
Feature Point Tracking / Omnidirectional Image / Affine Invariant Local Features / / / / / |
| Reference Info. |
ITE Tech. Rep., vol. 41, no. 4, ME2017-4, pp. 13-16, Feb. 2017. |
| Paper # |
ME2017-4 |
| Date of Issue |
2017-02-11 (ME) |
| ISSN |
Print edition: ISSN 1342-6893 Online edition: ISSN 2424-1970 |
| Notes on Review |
This article is a technical report without peer review, and its polished version will be published elsewhere. |
| Download PDF |
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| Conference Information |
| Committee |
ME |
| Conference Date |
2017-02-18 - 2017-02-18 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Kanto Gakuin Univ. |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
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| Paper Information |
| Registration To |
ME |
| Conference Code |
2017-02-ME |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Accurate Feature Point Tracking using Local Invariant Features for Omnidirectional Image Sequence |
| Sub Title (in English) |
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| Keyword(1) |
Feature Point Tracking |
| Keyword(2) |
Omnidirectional Image |
| Keyword(3) |
Affine Invariant Local Features |
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| 1st Author's Name |
Hiroshi Tada |
| 1st Author's Affiliation |
Yokohama National University (YNU) |
| 2nd Author's Name |
Koichi Ichige |
| 2nd Author's Affiliation |
Yokohama National University (YNU) |
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| Speaker |
Author-1 |
| Date Time |
2017-02-18 11:15:00 |
| Presentation Time |
15 minutes |
| Registration for |
ME |
| Paper # |
ME2017-4 |
| Volume (vol) |
vol.41 |
| Number (no) |
no.4 |
| Page |
pp.13-16 |
| #Pages |
4 |
| Date of Issue |
2017-02-11 (ME) |