Shape from Thermal Radiation: Passive Ranging Using Multi-spectral LWIR Measurements
In this paper, we propose a new cue of depth sensing using thermal radiation. Our method realizes passive, texture independent, far range, and dark scene applicability, which can broaden the depth sensing subjects. A key ob-servation is that thermal radiation is attenuated by the air and is waveleng...
Saved in:
Published in | Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 12651 - 12661 |
---|---|
Main Authors | , , , , |
Format | Conference Proceeding |
Language | English Japanese |
Published |
IEEE
01.06.2022
|
Subjects | |
Online Access | Get full text |
Cover
Loading…
Abstract | In this paper, we propose a new cue of depth sensing using thermal radiation. Our method realizes passive, texture independent, far range, and dark scene applicability, which can broaden the depth sensing subjects. A key ob-servation is that thermal radiation is attenuated by the air and is wavelength dependent. By modeling the wavelength-dependent attenuation by the air and building a multi-spectral LWIR measurement system, we can jointly estimate the depth, temperature, and emissivity of the target. We analytically show the capability of the thermal radiation cue and show the effectiveness of the method in real-world scenes using an imaging system with a few bandpass filters. |
---|---|
AbstractList | In this paper, we propose a new cue of depth sensing using thermal radiation. Our method realizes passive, texture independent, far range, and dark scene applicability, which can broaden the depth sensing subjects. A key ob-servation is that thermal radiation is attenuated by the air and is wavelength dependent. By modeling the wavelength-dependent attenuation by the air and building a multi-spectral LWIR measurement system, we can jointly estimate the depth, temperature, and emissivity of the target. We analytically show the capability of the thermal radiation cue and show the effectiveness of the method in real-world scenes using an imaging system with a few bandpass filters. |
Author | Kushida, Takahiro Funatomi, Takuya Tanaka, Kenichiro Mukaigawa, Yasuhiro Nagase, Yasuto |
Author_xml | – sequence: 1 givenname: Yasuto surname: Nagase fullname: Nagase, Yasuto email: nagase.yasuto.nx0@is.naist.jp organization: Nara Institute of Science and Technology (NAIST),Japan – sequence: 2 givenname: Takahiro surname: Kushida fullname: Kushida, Takahiro email: kushida.takahiro.kh3@is.naist.jp organization: Nara Institute of Science and Technology (NAIST),Japan – sequence: 3 givenname: Kenichiro surname: Tanaka fullname: Tanaka, Kenichiro email: funatomi@is.naist.jp organization: Ritsumeikan University,Japan – sequence: 4 givenname: Takuya surname: Funatomi fullname: Funatomi, Takuya email: mukaigawa@is.naist.jp organization: Nara Institute of Science and Technology (NAIST),Japan – sequence: 5 givenname: Yasuhiro surname: Mukaigawa fullname: Mukaigawa, Yasuhiro email: ken-t@fc.ritsumei.ac.jp organization: Nara Institute of Science and Technology (NAIST),Japan |
BookMark | eNotjN1OwkAQRlejiYA8gV70BYo7u93tjneG-EMCkSDoJZm2s7CGFtItJr69GL35TnJy8vXFRbNvWIhbkCMAiXfj9_nCKOvcSEmlRhKU1meiD9aazGJm9bnogbQ6tQh4JYYxfkoptQKw6Hpi-balAye-3dfJcsttTbtkQVWgLuyb-2ROMYYvPqlmE5pNsoq_OzvuupDGA5dde-qnH5NFMmOKx5Zrbrp4LS497SIP_zkQq6fH5fglnb4-T8YP0zQodF2aaVCeWJYuL6oqNwBFVjpD6I01ig0V0njGvChVXoInRCu9hVIioa1I6YG4-fsNzLw-tKGm9nuNLndOWf0Da4NTQg |
CODEN | IEEPAD |
ContentType | Conference Proceeding |
DBID | 6IE 6IH CBEJK RIE RIO |
DOI | 10.1109/CVPR52688.2022.01233 |
DatabaseName | IEEE Electronic Library (IEL) Conference Proceedings IEEE Proceedings Order Plan (POP) 1998-present by volume IEEE Xplore All Conference Proceedings IEEE Electronic Library (IEL) IEEE Proceedings Order Plans (POP) 1998-present |
DatabaseTitleList | |
Database_xml | – sequence: 1 dbid: RIE name: IEEE Electronic Library (IEL) url: https://proxy.k.utb.cz/login?url=https://ieeexplore.ieee.org/ sourceTypes: Publisher |
DeliveryMethod | fulltext_linktorsrc |
Discipline | Applied Sciences |
EISBN | 1665469463 9781665469463 |
EISSN | 1063-6919 |
EndPage | 12661 |
ExternalDocumentID | 9878826 |
Genre | orig-research |
GrantInformation_xml | – fundername: JST grantid: JP-MJCR1764,JPMJSC2003 funderid: 10.13039/501100001695 |
GroupedDBID | 6IE 6IH 6IL 6IN AAWTH ABLEC ADZIZ ALMA_UNASSIGNED_HOLDINGS BEFXN BFFAM BGNUA BKEBE BPEOZ CBEJK CHZPO IEGSK IJVOP OCL RIE RIL RIO |
ID | FETCH-LOGICAL-i298t-4312fae0c87bdd7511b4c85a9f5652e5ab05fe97bc27c1fa9960f61c09a96da23 |
IEDL.DBID | RIE |
IngestDate | Wed Aug 27 02:15:08 EDT 2025 |
IsPeerReviewed | false |
IsScholarly | true |
Language | English Japanese |
LinkModel | DirectLink |
MergedId | FETCHMERGED-LOGICAL-i298t-4312fae0c87bdd7511b4c85a9f5652e5ab05fe97bc27c1fa9960f61c09a96da23 |
PageCount | 11 |
ParticipantIDs | ieee_primary_9878826 |
PublicationCentury | 2000 |
PublicationDate | 2022-06-01 |
PublicationDateYYYYMMDD | 2022-06-01 |
PublicationDate_xml | – month: 06 year: 2022 text: 2022-06-01 day: 01 |
PublicationDecade | 2020 |
PublicationTitle | Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) |
PublicationTitleAbbrev | CVPR |
PublicationYear | 2022 |
Publisher | IEEE |
Publisher_xml | – name: IEEE |
SSID | ssj0003211698 |
Score | 2.263314 |
Snippet | In this paper, we propose a new cue of depth sensing using thermal radiation. Our method realizes passive, texture independent, far range, and dark scene... |
SourceID | ieee |
SourceType | Publisher |
StartPage | 12651 |
SubjectTerms | Atmospheric modeling Attenuation Physics-based vision and shape-from-X; Computational photography Shape Shape measurement Temperature measurement Temperature sensors Wavelength measurement |
Title | Shape from Thermal Radiation: Passive Ranging Using Multi-spectral LWIR Measurements |
URI | https://ieeexplore.ieee.org/document/9878826 |
hasFullText | 1 |
inHoldings | 1 |
isFullTextHit | |
isPrint | |
link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3PT8IwGG2QkydUMP5ODx7t6NZua70SCRoxBEG5kbZr1WiAwLj41_t1mxCNB09bmmVb-q39Xr-994rQJdeaKaZD4lInCdc8JFIwRqi2Ugkqjcu83rn_kPTG_G4ST2roaqOFsdYW5DMb-NPiX342N2tfKmvD-hgAYbKDduBYarU29RQGK5lEikodF1LZ7jwNht7MxBO4oijw4IH92EOlSCHdBup_P7xkjrwH61wH5vOXL-N_324PtbZiPTzYpKF9VLOzA9So0CWuxu6qiUaPr2phsdeTYPg4YEL-wEPvTOBDc40HgKJh5oMm71D4ggsuAS70uaSQYy7h-vvn2yHub8uKqxYad29GnR6p9lQgb5EUOQG8EDllqRGpzrIU4JbmRsRKOkB2kY2Vpp5-lmoTpSZ0ypu3uCQ0VCqZZCpih6g-m8_sEcKOC66FS5zVmgu4q1AspcrBmLbKxfIYNX0nTRelbca06p-Tv5tP0a4PU8nCOkP1fLm255Dvc31RBPoLMhWsYQ |
linkProvider | IEEE |
linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwjV3PT8IwGG0QD3pCBeNve_DoxrZ2W-uVSFAZIQjKjbRdq0YDBMbFv96v24RoPHhbmmVb-q39Xr--94rQFZWSCCJ9x8SGO1RS3-GMEMeTmgvmcWVSq3dOelFnRO_H4biCrtdaGK11Tj7Trr3M9_LTmVrZUlkT1scACKMttA15P_QLtda6okJgLRNxVurjfI83W0_9gbUzsRSuIHAtfCA_TlHJk0i7hpLv1xfckXd3lUlXff5yZvzv9-2hxkauh_vrRLSPKnp6gGolvsTl6F3W0fDxVcw1tooSDL8HTMkfeGC9CWxwbnAfcDTMfdBkPQpfcM4mwLlC18kFmQu4v_t8N8DJprC4bKBR-3bY6jjlqQrOW8BZ5gBiCIzQnmKxTNMYAJekioWCG8B2gQ6F9CwBLZYqiJVvhLVvMZGvPC54lIqAHKLqdDbVRwgbyqhkJjJaSsrgqUyQ2BMGRrUWJuTHqG47aTIvjDMmZf-c_N18iXY6w6Q76d71Hk7Rrg1Zwck6Q9VssdLnkP0zeZEH_Qte6a-q |
openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=proceeding&rft.title=Proceedings+%28IEEE+Computer+Society+Conference+on+Computer+Vision+and+Pattern+Recognition.+Online%29&rft.atitle=Shape+from+Thermal+Radiation%3A+Passive+Ranging+Using+Multi-spectral+LWIR+Measurements&rft.au=Nagase%2C+Yasuto&rft.au=Kushida%2C+Takahiro&rft.au=Tanaka%2C+Kenichiro&rft.au=Funatomi%2C+Takuya&rft.date=2022-06-01&rft.pub=IEEE&rft.eissn=1063-6919&rft.spage=12651&rft.epage=12661&rft_id=info:doi/10.1109%2FCVPR52688.2022.01233&rft.externalDocID=9878826 |