Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Wencan Cheng"'
Publikováno v:
Sensors, Vol 24, Iss 21, p 6918 (2024)
With the recent prominence of artificial intelligence (AI) technology, various research outcomes and applications in the field of image recognition and processing utilizing AI have been continuously emerging. In particular, the domain of object recog
Externí odkaz:
https://doaj.org/article/233bfc7cd72a4640bad8d422dd7501dd
Publikováno v:
IEEE Access, Vol 10, Pp 61617-61630 (2022)
As a combination of a point encoder and a decoder, a point auto-encoder (AE) facilitates the reconstruction and segmentation of the point cloud representation of 3D objects. In this paper, first, we present a novel approach to point decoding, referre
Externí odkaz:
https://doaj.org/article/d3353e73f61e4f55a7dba52689d67085
Publikováno v:
IEEE Access. 10:61617-61630
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a75d359e3367aea4385365ee7a89b7b1
https://doi.org/10.1109/access.2022.3180740
https://doi.org/10.1109/access.2022.3180740
Publikováno v:
2022 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d5d643f83724842879aaf7cc093e23e5
https://doi.org/10.1109/icce-asia57006.2022.9954834
https://doi.org/10.1109/icce-asia57006.2022.9954834
Autor:
Wencan Cheng, Jong Hwan Ko
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198144
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::28c7cb9b8c0e7ff0ecddf892f4e1e41f
https://doi.org/10.1007/978-3-031-19815-1_7
https://doi.org/10.1007/978-3-031-19815-1_7
Autor:
Sukhan Lee, Wencan Cheng
Publikováno v:
IMCOM
Deep learning approaches to the classification and orientation estimation of 3D objects have not been so successful to date. The increased complexity of dealing with 3 axes orientation variations associated with individual objects is to be blamed. To
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9a4949c3ad17e0132c40b28461f8e77d
https://doi.org/10.1109/imcom48794.2020.9001703
https://doi.org/10.1109/imcom48794.2020.9001703
Akademický článek
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Autor:
Wencan Cheng, Sukhan Lee
Publikováno v:
Advances in Visual Computing ISBN: 9783030337223
ISVC (2)
ISVC (2)
PointNet has been shown to be an efficient way to encode the global geometric features of a point cloud representation of 3D objects based on supervised learning. Although it is quite interesting to have a decoder integrated into PointNet for possibl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fb19f480d7fbd6b6636adaba94f8766
https://doi.org/10.1007/978-3-030-33723-0_6
https://doi.org/10.1007/978-3-030-33723-0_6