Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Ramanathan Muthuganapathy"'
Publikováno v:
IEEE Access, Vol 9, Pp 22711-22723 (2021)
This paper presents a deep learning approach for the classification of Engineering (CAD) models using Convolutional Neural Networks (CNNs). Owing to the availability of large annotated datasets and also enough computational power in the form of GPUs,
Externí odkaz:
https://doaj.org/article/c34a59b582b9422587da1d269f92299a
Publikováno v:
Visual Computing for Industry, Biomedicine, and Art, Vol 3, Iss 1, Pp 1-16 (2020)
Abstract We present a mixed reality-based assistive system for shading paper sketches. Given a paper sketch made by an artist, our interface helps inexperienced users to shade it appropriately. Initially, using a simple Delaunay-triangulation based i
Externí odkaz:
https://doaj.org/article/84786b2bf77c4c0d8ec3d01793061dc2
Publikováno v:
Computers & Graphics. 107:73-83
Search and retrieval remains a major research topic in several domains, including computer graphics, computer vision, engineering design, etc. A search engine requires primarily an input search query and a database of items to search from. In enginee
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::98ac6b8c633c51477292835d6bbe8dc8
https://doi.org/10.1016/j.cag.2022.07.006
https://doi.org/10.1016/j.cag.2022.07.006
Publikováno v:
Computers & Graphics. 106:210-221
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb08442734805893d7c9af369355b512
https://doi.org/10.1016/j.cag.2022.05.017
https://doi.org/10.1016/j.cag.2022.05.017
Publikováno v:
Computers & Graphics. 107:A6-A8
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8e95c4f7bb3feb57ee64d7a77c7c42f
https://doi.org/10.1016/j.cag.2022.08.011
https://doi.org/10.1016/j.cag.2022.08.011
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 19:1-5
The success of deep learning methods led to significant breakthroughs in 3-D point cloud processing tasks with applications in remote sensing. Existing methods utilize convolutions that have some limitations, as they assume a uniform input distributi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::81948044abae45c96b689e7b9faa3ca4
https://doi.org/10.1109/lgrs.2021.3061422
https://doi.org/10.1109/lgrs.2021.3061422
Autor:
J. Narasimhamurthy, Karthikeyan Vaiapury, Ramanathan Muthuganapathy, Balamuralidhar Purushothaman
Publikováno v:
Smart Computer Vision ISBN: 9783031205408
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::af59dfbe8b5842869207cd393c9046e9
https://doi.org/10.1007/978-3-031-20541-5_11
https://doi.org/10.1007/978-3-031-20541-5_11
Publikováno v:
IEEE Geoscience and Remote Sensing Letters. 17:1465-1469
Classification of light detection and ranging (LiDAR) point clouds of building roofs plays a vital role in various urban management applications and is significant in geographic information systems (GISs) and remote sensing. In this letter, a novel d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb51204f2c715a2f395e5462c17b398e
https://doi.org/10.1109/lgrs.2019.2945886
https://doi.org/10.1109/lgrs.2019.2945886
Publikováno v:
Computers & Graphics. 89:131-143
This paper proposes a unified approach towards computing geometry structures viz. Voronoi diagram, medial axis, Delaunay graph and α-hull of planar closed curves. It initially presents an algorithm for computing the Voronoi diagram of a set of plana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce360ecf35464a4f9d37aa7f6963c336
https://doi.org/10.1016/j.cag.2020.05.010
https://doi.org/10.1016/j.cag.2020.05.010
Ongoing advancements in the fields of 3D modelling and digital archiving have led to an outburst in the amount of data stored digitally. Consequently, several retrieval systems have been developed depending on the type of data stored in these databas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b6e5a0fb536edfeab000a65afc4599b
http://arxiv.org/abs/2107.06212
http://arxiv.org/abs/2107.06212