Zobrazeno 1 - 10
of 82
pro vyhledávání: '"Zhanglin Cheng"'
Publikováno v:
Computational Visual Media, Vol 6, Iss 1, Pp 95-112 (2020)
Abstract A discriminative local shape descriptor plays an important role in various applications. In this paper, we present a novel deep learning framework that derives discriminative local descriptors for deformable 3D shapes. We use local “geomet
Externí odkaz:
https://doaj.org/article/61fb6938467b4162a49066cdcc2903c5
Publikováno v:
IEEE Access, Vol 7, Pp 4024-4030 (2019)
Intrinsic image decomposition from a single image or image sequences is always a challenging task in computer vision and image processing due to the ill-posed characteristics. In order to attain a reasonable estimation of intrinsic images, in this pa
Externí odkaz:
https://doaj.org/article/645a0af7fdcb4dba936078436b9fc46d
Autor:
Dawar Khan, Zhanglin Cheng, Hideaki Uchiyama, Sikandar Ali, Muhammad Asshad, Kiyoshi Kiyokawa
Publikováno v:
Computers & Graphics. 104:24-45
Publikováno v:
Sensors, Vol 21, Iss 8, p 2731 (2021)
Accurate segmentation of entity categories is the critical step for 3D scene understanding. This paper presents a fast deep neural network model with Dense Conditional Random Field (DCRF) as a post-processing method, which can perform accurate semant
Externí odkaz:
https://doaj.org/article/cb49b1827e7343e4a905028e2af2eaa9
Publikováno v:
IEEE Transactions on Geoscience and Remote Sensing. 60:1-17
Automatic registration of point clouds captured by terrestrial laser scanning (TLS) plays an important role in many fields including remote sensing (e.g., transportation management, 3-D reconstruction in large-scale urban areas and environment monito
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-13
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. :1-15
Publikováno v:
Computer Animation and Virtual Worlds. 34
Publikováno v:
Computer Graphics Forum. 40:289-300
Autor:
Kai Wu, Zhanglin Cheng
Publikováno v:
2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct).