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浏览/检索结果: 共4条，第1-4条 帮助 已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Multimodal Unknown Surface Material Classification and Its Application to Physical Reasoning 期刊论文 IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2022, 卷号: 18, 期号: 7, 页码: 4406-4416 作者:  Wei, Junhang;  Cui, Shaowei;  Hu, Jingyi;  Hao, Peng;  Wang, Shuo 收藏  |  浏览/下载：21/0  |  提交时间：2022/06/10 Robots  Convolutional neural networks  Visualization  Informatics  Feature extraction  Task analysis  Haptic interfaces  Auditory and haptic information  deep learning  multimodal fusion  physical reasoning  unknown surface material classification (USMC)   The Application of Edge Computing Technology in the Collaborative Optimization of Intelligent Transportation System Based on Information Physical Fusion 期刊论文 IEEE ACCESS, 2020, 卷号: 8, 页码: 153264-153272 作者:  Yan, Gongxing;  Qin, Qi 收藏  |  浏览/下载：4/0  |  提交时间：2021/03/18 Edge computing technology  intelligent transportation system  information physical fusion  collaborative optimization   A System Architecture of Service Fusion Engine for Information of Physical World 会议论文 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013), Hangzhou, China, March 22-23, 2013 作者:  Wang T(王挺);  Zhang HL(张华良);  Zeng P(曾鹏) 收藏  |  浏览/下载：15/0  |  提交时间：2013/12/26 information of physical world  service fusion  inference   Restoration of an atmospherically blurred image based on physical model fusion approach (EI CONFERENCE) 会议论文 2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China Li J.; Wang Y.; Sun H.; Tian R.; Zhang Y. 收藏  |  浏览/下载：19/0  |  提交时间：2013/03/25 This paper proposes a new restoration method  only using the single image information  combining atmospheric physical model with fusion techniques to reduce the degradation of the image contrast in bad weather conditions caused by atmospheric aerosols  such as haze and fog. The basic idea of this method is to utilize physics-based model method instead of multisensors to generate a serial of virtual images  and then to fuse those virtual images into a high contrast image based on the wavelet fusion technique. In contrast to previous methods  our restoration technique is not only independent on predicted structure  distributions of scene reflectance  or detailed knowledge about the particular weather condition  but also adapt to the situation without a reference image or images with moving objects captured by a video camera. Experiments on different poorcontrast images demonstrate the availability of the proposed method in case of restoring the atmospherically blurred images. 2010 IEEE.