| Paper Abstract and Keywords |
| Presentation |
2018-02-20 09:30
Detection of outdoor cables from point-cloud measured by MMS
-- Classification method of elongated object using histogram feature based on multiple geometric directions(MGPFH) -- Hitoshi Niigaki, Ken Tsutsuguchi, Tetsuya Kinebuchi (NTT) PRMU2017-159 CNR2017-37 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
Research results on detecting details of outdoor structures using point clouds measured by Mobile Map-
ping Systems have been reported in recent years. The reports show that unvarying statistics about position and
orientation, obtained by using normal information, have been used as effective feature quantities for identifying 3D
objects. However, since many such structures have elongated (“swept”) shapes, it is often difficult to extract the
normal information stably. In urban areas, the scale for extracting features often increases due to the effects of
neighboring structures. In such cases, features extracted from point clouds of other structures get mixed together.
This makes it difficult to obtain features effective for identification. We found in our work that the amount of statis-
tics in the extrusion direction effectively enables swept shapes to be identified with high accuracy, even when there
are multiple adjacent objects. We also found that the identification accuracy improves by using feature quantities
extracted explicitly from the region of interest and the surrounding regions. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
point-cloud / MMS / 3D feature / 3D object / cross section / clustering / / |
| Reference Info. |
IEICE Tech. Rep., vol. 117, no. 442, PRMU2017-159, pp. 83-87, Feb. 2018. |
| Paper # |
PRMU2017-159 |
| Date of Issue |
2018-02-12 (PRMU, CNR) |
| ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Download PDF |
PRMU2017-159 CNR2017-37 |
| Conference Information |
| Committee |
PRMU CNR |
| Conference Date |
2018-02-19 - 2018-02-20 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
|
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
|
| Paper Information |
| Registration To |
PRMU |
| Conference Code |
2018-02-PRMU-CNR |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Detection of outdoor cables from point-cloud measured by MMS |
| Sub Title (in English) |
Classification method of elongated object using histogram feature based on multiple geometric directions(MGPFH) |
| Keyword(1) |
point-cloud |
| Keyword(2) |
MMS |
| Keyword(3) |
3D feature |
| Keyword(4) |
3D object |
| Keyword(5) |
cross section |
| Keyword(6) |
clustering |
| Keyword(7) |
|
| Keyword(8) |
|
| 1st Author's Name |
Hitoshi Niigaki |
| 1st Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
| 2nd Author's Name |
Ken Tsutsuguchi |
| 2nd Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
| 3rd Author's Name |
Tetsuya Kinebuchi |
| 3rd Author's Affiliation |
Nippon Telegraph and Telephone Corporation (NTT) |
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| Speaker |
Author-1 |
| Date Time |
2018-02-20 09:30:00 |
| Presentation Time |
30 minutes |
| Registration for |
PRMU |
| Paper # |
PRMU2017-159, CNR2017-37 |
| Volume (vol) |
vol.117 |
| Number (no) |
no.442(PRMU), no.443(CNR) |
| Page |
pp.83-87 |
| #Pages |
5 |
| Date of Issue |
2018-02-12 (PRMU, CNR) |