ログイン
言語:

WEKO3

  • トップ
  • ランキング
To
lat lon distance
To

Field does not validate



インデックスリンク

インデックスツリー

メールアドレスを入力してください。

WEKO

One fine body…

WEKO

One fine body…

アイテム

{"_buckets": {"deposit": "512e3eb6-23a9-4cdf-8f49-d0fed7016ffa"}, "_deposit": {"id": "5279", "owners": [], "pid": {"revision_id": 0, "type": "depid", "value": "5279"}, "status": "published"}, "_oai": {"id": "oai:nagoya.repo.nii.ac.jp:00005279", "sets": ["322"]}, "author_link": ["13356", "13357", "13358"], "item_10_biblio_info_6": {"attribute_name": "書誌情報", "attribute_value_mlt": [{"bibliographicIssueDates": {"bibliographicIssueDate": "2001-11", "bibliographicIssueDateType": "Issued"}, "bibliographicPageEnd": "181", "bibliographicPageStart": "174", "bibliographic_titles": [{"bibliographic_title": "Proceedings of the Fourteenth Conference on Computer Animation", "bibliographic_titleLang": "en"}]}]}, "item_10_description_4": {"attribute_name": "抄録", "attribute_value_mlt": [{"subitem_description": "This paper reports a method for estimating human spine posture using the front and side views of a human body taken by a video camera. We present here a new 3D model to estimate the spine posture using connected vertebra spheres. In this model, each vertebra forming the spine is approximated aas a sphere. The spine is approximated as a series of spheres connecting each other: Each sphere has the control points to represent the outer shape of the body. The spine posture is estimated by moving the sphere and the control points. The estimation is performed by calculatingmatching ratio between a projected image of the model and an input image. X-ray CT slices are used for the construction of the model. We applied the proposed method to real human images. The experimental results showed that our 3D model worked reasonably for edtimation of human spine posture based on real human images.", "subitem_description_language": "en", "subitem_description_type": "Abstract"}]}, "item_10_identifier_60": {"attribute_name": "URI", "attribute_value_mlt": [{"subitem_identifier_type": "HDL", "subitem_identifier_uri": "http://hdl.handle.net/2237/6866"}]}, "item_10_publisher_32": {"attribute_name": "出版者", "attribute_value_mlt": [{"subitem_publisher": "IEEE", "subitem_publisher_language": "en"}]}, "item_10_relation_11": {"attribute_name": "DOI", "attribute_value_mlt": [{"subitem_relation_type": "isVersionOf", "subitem_relation_type_id": {"subitem_relation_type_id_text": "https://doi.org/10.1109/CA.2001.982391", "subitem_relation_type_select": "DOI"}}]}, "item_10_rights_12": {"attribute_name": "権利", "attribute_value_mlt": [{"subitem_rights": "Copyright © 2001 IEEE. Reprinted from (relevant publication info). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.", "subitem_rights_language": "en"}]}, "item_10_select_15": {"attribute_name": "著者版フラグ", "attribute_value_mlt": [{"subitem_select_item": "publisher"}]}, "item_10_text_14": {"attribute_name": "フォーマット", "attribute_value_mlt": [{"subitem_text_value": "application/pdf"}]}, "item_1615787544753": {"attribute_name": "出版タイプ", "attribute_value_mlt": [{"subitem_version_resource": "http://purl.org/coar/version/c_970fb48d4fbd8a85", "subitem_version_type": "VoR"}]}, "item_access_right": {"attribute_name": "アクセス権", "attribute_value_mlt": [{"subitem_access_right": "open access", "subitem_access_right_uri": "http://purl.org/coar/access_right/c_abf2"}]}, "item_creator": {"attribute_name": "著者", "attribute_type": "creator", "attribute_value_mlt": [{"creatorNames": [{"creatorName": "Furukawa, Daisuke", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "13356", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Mori, Kensaku", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "13357", "nameIdentifierScheme": "WEKO"}]}, {"creatorNames": [{"creatorName": "Suenaga, Yasuhiro", "creatorNameLang": "en"}], "nameIdentifiers": [{"nameIdentifier": "13358", "nameIdentifierScheme": "WEKO"}]}]}, "item_files": {"attribute_name": "ファイル情報", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_date", "date": [{"dateType": "Available", "dateValue": "2018-02-19"}], "displaytype": "detail", "download_preview_message": "", "file_order": 0, "filename": "humanspineposture.pdf", "filesize": [{"value": "1.1 MB"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_note", "mimetype": "application/pdf", "size": 1100000.0, "url": {"label": "humanspineposture.pdf", "objectType": "fulltext", "url": "https://nagoya.repo.nii.ac.jp/record/5279/files/humanspineposture.pdf"}, "version_id": "70dda4d9-4255-435f-bffa-98c311adaff8"}]}, "item_language": {"attribute_name": "言語", "attribute_value_mlt": [{"subitem_language": "eng"}]}, "item_resource_type": {"attribute_name": "資源タイプ", "attribute_value_mlt": [{"resourcetype": "journal article", "resourceuri": "http://purl.org/coar/resource_type/c_6501"}]}, "item_title": "Human spine posture estimation from video images based on connected vertebra spheres model", "item_titles": {"attribute_name": "タイトル", "attribute_value_mlt": [{"subitem_title": "Human spine posture estimation from video images based on connected vertebra spheres model", "subitem_title_language": "en"}]}, "item_type_id": "10", "owner": "1", "path": ["322"], "permalink_uri": "http://hdl.handle.net/2237/6866", "pubdate": {"attribute_name": "PubDate", "attribute_value": "2006-08-28"}, "publish_date": "2006-08-28", "publish_status": "0", "recid": "5279", "relation": {}, "relation_version_is_last": true, "title": ["Human spine posture estimation from video images based on connected vertebra spheres model"], "weko_shared_id": -1}
  1. B200 工学部/工学研究科
  2. B200a 雑誌掲載論文
  3. 学術雑誌

Human spine posture estimation from video images based on connected vertebra spheres model

http://hdl.handle.net/2237/6866
http://hdl.handle.net/2237/6866
3517f01d-dcdd-4820-8b1c-63c4f1c45458
名前 / ファイル ライセンス アクション
humanspineposture.pdf humanspineposture.pdf (1.1 MB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2006-08-28
タイトル
タイトル Human spine posture estimation from video images based on connected vertebra spheres model
言語 en
著者 Furukawa, Daisuke

× Furukawa, Daisuke

WEKO 13356

en Furukawa, Daisuke

Search repository
Mori, Kensaku

× Mori, Kensaku

WEKO 13357

en Mori, Kensaku

Search repository
Suenaga, Yasuhiro

× Suenaga, Yasuhiro

WEKO 13358

en Suenaga, Yasuhiro

Search repository
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
権利
言語 en
権利情報 Copyright © 2001 IEEE. Reprinted from (relevant publication info). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of Nagoya University’s products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.
抄録
内容記述 This paper reports a method for estimating human spine posture using the front and side views of a human body taken by a video camera. We present here a new 3D model to estimate the spine posture using connected vertebra spheres. In this model, each vertebra forming the spine is approximated aas a sphere. The spine is approximated as a series of spheres connecting each other: Each sphere has the control points to represent the outer shape of the body. The spine posture is estimated by moving the sphere and the control points. The estimation is performed by calculatingmatching ratio between a projected image of the model and an input image. X-ray CT slices are used for the construction of the model. We applied the proposed method to real human images. The experimental results showed that our 3D model worked reasonably for edtimation of human spine posture based on real human images.
言語 en
内容記述タイプ Abstract
出版者
言語 en
出版者 IEEE
言語
言語 eng
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1109/CA.2001.982391
書誌情報 en : Proceedings of the Fourteenth Conference on Computer Animation

p. 174-181, 発行日 2001-11
フォーマット
application/pdf
著者版フラグ
値 publisher
URI
識別子 http://hdl.handle.net/2237/6866
識別子タイプ HDL
戻る
0
views
See details
Views

Versions

Ver.1 2021-03-01 13:14:44.887219
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Cite as

エクスポート

OAI-PMH
  • OAI-PMH JPCOAR
  • OAI-PMH DublinCore
  • OAI-PMH DDI
Other Formats
  • JSON
  • BIBTEX

Confirm


Powered by WEKO3


Powered by WEKO3