Computer Vision – ACCV 2022 16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Proceedings, Part VII /
The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022. The total of 277 contributions included in the proceedings set was carefully reviewed and selected from 836 submissions during two rounds...
I tiakina i:
| Kaituhi rangatōpū: | |
|---|---|
| Ētahi atu kaituhi: | , , , , |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2023.
|
| Putanga: | 1st ed. 2023. |
| Rangatū: | Lecture Notes in Computer Science,
13847 |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1007/978-3-031-26293-7 |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
MARC
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| 245 | 1 | 0 | |a Computer Vision – ACCV 2022 |h [electronic resource] : |b 16th Asian Conference on Computer Vision, Macao, China, December 4–8, 2022, Proceedings, Part VII / |c edited by Lei Wang, Juergen Gall, Tat-Jun Chin, Imari Sato, Rama Chellappa. |
| 250 | |a 1st ed. 2023. | ||
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| 490 | 1 | |a Lecture Notes in Computer Science, |x 1611-3349 ; |v 13847 | |
| 520 | |a The 7-volume set of LNCS 13841-13847 constitutes the proceedings of the 16th Asian Conference on Computer Vision, ACCV 2022, held in Macao, China, December 2022. The total of 277 contributions included in the proceedings set was carefully reviewed and selected from 836 submissions during two rounds of reviewing and improvement. The papers focus on the following topics: Part I: 3D computer vision; optimization methods; Part II: applications of computer vision, vision for X; computational photography, sensing, and display; Part III: low-level vision, image processing; Part IV: face and gesture; pose and action; video analysis and event recognition; vision and language; biometrics; Part V: recognition: feature detection, indexing, matching, and shape representation; datasets and performance analysis; Part VI: biomedical image analysis; deep learning for computer vision; Part VII: generative models for computer vision; segmentation and grouping; motion and tracking; document image analysis; big data, large scale methods. | ||
| 588 | |a Print version record. | ||
| 650 | 0 | |a Computer vision. | |
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| 700 | 1 | |a Gall, Juergen. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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| 700 | 1 | |a Sato, Imari. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 700 | 1 | |a Chellappa, Rama. |e editor. |0 (orcid)0000-0002-7638-1650 |1 https://orcid.org/0000-0002-7638-1650 |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
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