Multi-attribute complex scene rendering with state clustering and data fusion

被引：0

作者：

Liang AiMin ^{[1
]}

Yu Zhuo ^{[1
]}

机构：

[1] Beihang Univ, State Key Lab Virtual Real Technol, Beijing, Peoples R China

来源：

SECOND WORKSHOP ON DIGITAL MEDIA AND ITS APPLICATION IN MUSEUM & HERITAGE, PROCEEDINGS | 2007年

关键词：

D O I：

10.1109/DMAMH.2007.20

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The paper presents a novel rendering method with state clustering and data fusion. It is mainly used to solve the bottleneck in complex scene of real-time rendering. The method improves the application performance through removing the objects outside the view frustum and the occluded objects, it minimizes the number of state changes at the same time. Despite its simplicity, the experiments show the algorithm achieves good efficiency for high depth and multi-attribute complex scene.

引用

页码：206 / 211

页数：6

共 50 条

[1] Multi-Attribute Fusion Algorithm Based on Improved Evidence Theory and Clustering
Wang, Wenqing
Yan, Yuan
Zhang, Rundong
Wang, Zhen
Fan, Yongqing
Yang, Chunjie
[J]. SENSORS, 2019, 19 (19)
[2] Multi-Attribute Spaces: Calibration for Attribute Fusion and Similarity Search
Scheirer, Walter J.
Kumar, Neeraj
Belhumeur, Peter N.
Boult, Terrance E.
[J]. 2012 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR), 2012, : 2933 - 2940
[3] Multi-Attribute Decision Fusion for Pattern Classification
Awogbami, Gabriel
Agana, Norbert
Homaifar, Abdollah
[J]. IEEE SOUTHEASTCON 2018, 2018,
[4] PUMA: Parallel subspace clustering of categorical data using multi-attribute weights
Pang, Ning
Zhang, Jifu
Zhang, Chaowei
Qin, Xiao
Cai, Jianghui
[J]. EXPERT SYSTEMS WITH APPLICATIONS, 2019, 126 : 233 - 245
[5] Research on Multi-Attribute Information Fusion for the Dynamic State of Inland River Vessels
Fan, Yaotian
Xu, Xianzhang
Wang Chi Wang
[J]. PROCEEDINGS OF THE 2016 INTERNATIONAL FORUM ON MECHANICAL, CONTROL AND AUTOMATION (IFMCA 2016), 2017, 113 : 240 - 247
[6] Similarity measure for multi-attribute data
Li, CJ
Prabhakaran, B
Zheng, SQ
[J]. 2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, : 1149 - 1152
[7] Multi-Attribute Compressive Data Gathering
Chen, Guangshuo
Liu, Xiao-Yang
Kong, Linghe
Lu, Jia-Liang
Wu, Min-You
[J]. 2014 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2014, : 2178 - 2183
[8] Multi-Attribute Data Fusion for Energy Equilibrium Routing in Wireless Sensor Networks
Lin, Kai
Wang, Lei
Li, Keqiu
Shu, Lei
[J]. KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, 2010, 4 (01): : 5 - 24
[9] Crowdsourced Selection on Multi-Attribute Data
Weng, Xueping
Li, Guoliang
Hu, Huiqi
Feng, Jianhua
[J]. CIKM'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, 2017, : 307 - 316
[10] Multi-attribute multi-sensor and multi-target data fusion based on Vague Set
Wang, JH
Li, X
Duan, ZS
Han, CZ
[J]. PROCEEDINGS OF 2005 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-9, 2005, : 2511 - 2517

← 1 2 3 4 5 →