Scientific Research

Research Field

• Research interests: computer graphics, computer vision, visualization and visual analysis, animation digitization, etc.

  
  

  Focus on: point cloud processing (including 3D reconstruction, 3D model recognition, segmentation, registration, classification, etc.), as well as animation-related generation and prediction, etc.

  
  

  Enterprise cooperation: Cooperating with Shaanxi Automobile Group Co., Ltd.-Shaanxi Automobile Holding Group Co., Ltd. to focus on road planning, target detection and pedestrian action prediction in autonomous driving in mining areas.

  
  

Paper Publications

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• EPCS: Endpoint-based part-aware curve skeleton extraction for low-quality point clouds .Computers & Graphics .2023
• HDRNet: High‐Dimensional regression network for point cloud registration .Computer Graphics Forum .2023 ,42 (1) :33-46
• VFMVAC: View-filtering-based multi-view aggregating convolution for 3D shape recognition and retrieval .Pattern Recognition .2022 ,129 (September) :108774
• SGLBP: Subgraph‐based local binary patterns for feature extraction on point clouds .Computer Graphics Forum .2022 ,41 (6) :51-66
• KDD: A kernel density based descriptor for 3D point clouds .Pattern Recognition .2021 ,111 (March) :107691
• From 2D to 3D: component description for partial matching of point clouds .IEEE Access .2019 (7) :173583-173602

Patents

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• An automatic reassembly method of cultural relics fragments based on adaptive neighborhood matching
• A curve matching method and a target object shape matching method
• An aggregated convolutional 3D model classification method based on view filtering
• A high-dimensional regression point cloud registration method, system, computer equipment and application
• Three-dimensional local feature descriptor and feature descriptor matching method
• A two-dimensional shape matching method

Published Books

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Research Projects

• Research on the model of multi-level feature description and understanding of ceramic cultural relics, 陕西省科协 , 在研
• Research on automatic reassembly method of damaged cultural relic fragments based on deep feature pattern, National Natural Science Foundation of China (NSFC) -2021-12-31 , 结题
• Research on key techniques for classification of cultural relic fragments based on cultural features fusion -2021-12-31 , 结题
• Research on key techniques for virtual reassembly of cultural relic fragments, 陕西省教育厅 -2019-12-31 , 结题