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Bangquan Liu

dblp:92/7950 · DBLP profile ↗
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5ranked-venue papers
3as first author
1since 2021 · last 2025
0000-0002-5969-4460ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 4 · 2 first-authorArtificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Geometric modeling and processing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing › collision detection › distance computation
geodesic path computation		 0.312017
An optimization-driven approach for computing geodesic paths on triangle meshes · Comput. Aided Des. 2017
Geometric modeling and processing
mesh processing		 0.312017
An optimization-driven approach for computing geodesic paths on triangle meshes · Comput. Aided Des. 2017

Methods — techniques the papers use, named apart from their topics

optimization · 0.3
YearPublicationVenuePosition
2025 Interactive Measurement of Anthropometric Dimensions from Photo Image Based on Geodesic
Bangquan Liu, Jingli Wang, Dechao Sun
 Int. J. Pattern Recognit. Artif. Intell.1
2020 Research on image feature extraction and retrieval algorithms based on convolutional neural network
Xushan Peng, Yongping Li, Bangquan Liu
 J. Vis. Commun. Image Represent.4
2018 FoldedGI: A highly parallel algorithm for interference detection by folding a geometry image into a 1D buffer
Shuang-Min Chen, Bangquan Liu, Taijun Liu, Xiaokang Yu, Shi-Qing Xin, Ying He 0001, Changhe Tu
 Graph. Model.2
2017 An optimization-driven approach for computing geodesic paths on triangle meshes
Bangquan Liu, Shuang-Min Chen, Shi-Qing Xin, Ying He 0001, Zhen Liu 0002, Jieyu Zhao 0002
 Comput. Aided Des.1
2009 A Simulation Based on Emotions Model for Virtual Human Crowds
abstract
A model for studying the impacts caused by emotions of individual agents in a crowd is presented, the model is based on the crowd model proposed by helbing, every agent can have emotion and motivation attributes, the behaviors of different agents are set up by a function with individual parameters. The method of an individual's joining a crowd is proposed, and reactive mechanism between crowds is also explored. The demo system is tested on PC and the result showed the model is efficient in simulation of pedestrian movements in emotion.
Bangquan Liu, Zhen Liu 0002
 ICIG1