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浏览/检索结果: 共55条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 An Underwater Stereo Matching Method: Exploiting Segment-Based Method Traits without Specific Segment Operations 期刊论文  OAI收割 JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2024, 卷号: 12, 期号: 9, 页码: 22 作者:  Xu, Xinlin;  Xu, Huiping;  Ma, Lianjiang;  Sun, Kelin;  Yang, Jingchuan   |  收藏  |  浏览/下载：2/0  |  提交时间：2024/11/11 underwater stereo vision  cross-based patch  segmentation  Markov random field   Blending Surface Segmentation and Editing for 3D Models 期刊论文  OAI收割 IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS, 2022, 卷号: 28, 期号: 8, 页码: 2879-2894 作者:  Zhang, Long;  Guo, Jianwei;  Xiao, Jun;  Zhang, Xiaopeng;  Yan, Dong-Ming   |  收藏  |  浏览/下载：47/0  |  提交时间：2022/07/25 Three-dimensional displays  Solid modeling  Shape  Surface morphology  Clustering algorithms  Trajectory  Partitioning algorithms  Mesh segmentation  structure recovery  superfacets  rolling-ball blending surface  Markov random field   Urban Scene LOD Vectorized Modeling From Photogrammetry Meshes 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 7458-7471 作者:  Han, Jiali;  Zhu, Lingjie;  Gao, Xiang;  Hu, Zhanyi;  Zhou, Liyang   |  收藏  |  浏览/下载：48/0  |  提交时间：2021/11/03 Solid modeling  Three-dimensional displays  Buildings  Semantics  Image segmentation  Computational modeling  Shape  Urban reconstruction  building modeling  Markov random field  segment based modeling   A Doubly Graduated Method for Inference in Markov Random Field\ast 期刊论文  OAI收割 SIAM JOURNAL ON IMAGING SCIENCES, 2021, 卷号: 14, 期号: 3, 页码: 1354-1373 作者:  Yang, Xu;  Liu, Zhi-Yong   |  收藏  |  浏览/下载：23/0  |  提交时间：2022/02/16 maximum a posteriori  Markov random field  Gaussian smoothing  continuous relaxation   A Parallel Cerebrovascular Segmentation Algorithm Based on Focused Multi-Gaussians Model and Heterogeneous Markov Random Field 期刊论文  OAI收割 IEEE TRANSACTIONS ON NANOBIOSCIENCE, 2020, 卷号: 19, 期号: 3, 页码: 538-546 作者:  Lv, Zhilong;  Mi, Fubo;  Wu, Zhongke;  Zhu, Yicheng;  Liu, Xinyu   |  收藏  |  浏览/下载：35/0  |  提交时间：2020/12/10 Gaussian distribution  Image segmentation  Particle swarm optimization  Optimization  Histograms  Markov random fields  Robustness  Three-dimensional cerebrovascular segmentation  focused multi-Gaussians model  Chaotic oscillation particle swarm optimization  Markov random field   Outdoor Shadow Estimating Using Multiclass Geometric Decomposition Based on BLS 期刊论文  OAI收割 IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 5, 页码: 2152-2165 作者:  Chen, Zhihua;  Gao, Ting;  Sheng, Bin;  Li, Ping;  Chen, C. L. Philip   |  收藏  |  浏览/下载：41/0  |  提交时间：2020/06/22 Lighting  Sun  Estimation  Learning systems  Feature extraction  Neural networks  Classification algorithms  Broad learning system (BLS)  illumination estimating  Markov random field (MRF)  multiclass integrating  shadow synthesis   Effective piecewise planar modeling based on sparse 3D points and convolutional neural network 期刊论文  OAI收割 NEUROCOMPUTING, 2020, 卷号: 378, 页码: 350-363 作者:  Wang, Wei;  Gao, Wei;  Hu, Zhanyi   |  收藏  |  浏览/下载：35/0  |  提交时间：2020/03/30 Urban scene  Piecewise planar stereo  Markov Random Field  Image over-segmentation  Convolutional neural network   Efficient multi-plane extraction from massive 3D points for modeling large-scale urban scenes 期刊论文  OAI收割 VISUAL COMPUTER, 2019, 卷号: 35, 期号: 5, 页码: 625-638 作者:  Wang, Wei;  Gao, Wei   |  收藏  |  浏览/下载：44/0  |  提交时间：2019/07/11 Plane fitting  3D reconstruction  Piecewise planar assumption  Markov Random Field   (MCD)-C-4: A Robust Change Detection Method for Intelligent Visual Surveillance 期刊论文  OAI收割 IEEE ACCESS, 2018, 卷号: 6, 页码: 15505-15520 作者:  Wang, Kunfeng;  Gou, Chao;  Wang, Fei-Yue   |  收藏  |  浏览/下载：24/0  |  提交时间：2018/10/10 Change Detection  Multimodal Background  Multi-view Learning  Conditional Independence  Markov Random Field   Multi-Scale Multi-Feature Context Modeling for Scene Recognition in the Semantic Manifold 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 6, 页码: 2721-2735 作者:  Song, Xinhang;  Jiang, Shuqiang;  Herranz, Luis   |  收藏  |  浏览/下载：37/0  |  提交时间：2019/12/12 Scene recognition  semantic manifold  semantic multinomial  multi-scale  context model  Markov random field  convolutional neural networks