机构

• 自动化研究所 [7]
• 长春光学精密机械与物... [6]
• 西安光学精密机械研究... [2]
• 计算技术研究所 [1]

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• OAI收割 [16]

内容类型

• 会议论文 [9]
• 期刊论文 [6]
• 学位论文 [1]

发表日期

• 2022 [1]
• 2021 [1]
• 2020 [1]
• 2019 [1]
• 2017 [1]
• 2016 [1]
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浏览/检索结果: 共16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发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 Image De-occlusion via Event-enhanced Multi-modal Fusion Hybrid Network 期刊论文  OAI收割 Machine Intelligence Research, 2022, 卷号: 19, 期号: 4, 页码: 307-318 作者:  Si-Qi Li;  Yue Gao;  Qiong-Hai Dai   |  收藏  |  浏览/下载：17/0  |  提交时间：2024/04/23 Event camera  multi-modal fusion  image de-occlusion  spiking neural network (SNN)  image reconstruction   Research on Deep Learning Denoising Method in an Ultra-Fast All-Optical Solid-State Framing Camera 会议论文  OAI收割 Dublin, Ireland, 2021-07-19 作者:  Zhou, Jian;  Wang, Zhuping;  Wang, Tao;  Yang, Qing;  Wen, Keyao   |  收藏  |  浏览/下载：58/0  |  提交时间：2021/09/03 Ultra-fast all-optical solid-state framing camera  Convolutional neural network  Non-local mean filtering  Spatial resolution  X-ray   Research on real-time distance measurement of mobile eye tracking system based on neural network 会议论文  OAI收割 Chongqing, China, 2020-06-12 作者:  Hu, Ling;  Gao, Jiarui   |  收藏  |  浏览/下载：48/0  |  提交时间：2020/10/27 mobile eye-tracking system  neural network  pinhole camera  distance measurement   Depth Maps Restoration for Human Using RealSense 期刊论文  OAI收割 IEEE ACCESS, 2019, 卷号: 7, 页码: 112544-112553 作者:  Yin, Jingfang;  Zhu, Dengming;  Shi, Min;  Wang, Zhaoqi   |  收藏  |  浏览/下载：43/0  |  提交时间：2019/12/10 RGBD camera  human depth map restoration  two-stage stacked hourglass network  register and measure human 3D models   Image enhancement for outdoor long-range surveillance using IQ-learning multiscale Retinex 期刊论文  OAI收割 IET IMAGE PROCESSING, 2017, 卷号: 11, 期号: 9, 页码: 786-795 作者:  Liu, Haoting;  Lu, Hanqing;  Zhang, Yu   |  收藏  |  浏览/下载：48/0  |  提交时间：2018/03/03 Image Enhancement  Video Surveillance  Image Restoration  Wavelet Transforms  Neural Nets  Backpropagation  Outdoor Long-range Surveillance  Blind Iq-learning Multiscale Retinex  Visible Light Camera-based  Image Enhancement Method  Blind Image Quality Learning Multiscale Retinex  Image Brightness Degree  Image Region Contrast Degree  Image Edge Blur Degree  Image Colour Quality Degree  Image Noise Degree  Wavelet Transform Multiscale Retinex  Wt_msr  Multiple Optimal Control Parameter  Mocp  Backpropagation Neural Network  Bpnn   Multicamera Joint Video Synopsis 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2016, 卷号: 26, 期号: 6, 页码: 1058-1069 作者:  Zhu, Jianqing;  Liao, Shengcai;  Li, Stan Z.   |  收藏  |  浏览/下载：27/0  |  提交时间：2016/09/30 Camera Network  Joint Video Synopsis (Jvs)  Video Surveillance   Object tracking across non-overlapping views by learning inter-camera transfer models 期刊论文  OAI收割 PATTERN RECOGNITION, 2014, 卷号: 47, 期号: 3, 页码: 1126-1137 作者:  Chen, Xiaotang;  Huang, Kaiqi;  Tan, Tieniu 收藏  |  浏览/下载：33/0  |  提交时间：2015/08/12 Object tracking  Transfer models  Color transfer  Camera network  Non-overlapping views   Key observation selection-based effective video synopsis for camera network 期刊论文  OAI收割 MACHINE VISION AND APPLICATIONS, 2014, 卷号: 25, 期号: 1, 页码: 145-157 作者:  Zhu, Xiaobin;  Liu, Jing;  Wang, Jinqiao;  Lu, Hanqing 收藏  |  浏览/下载：32/0  |  提交时间：2015/08/12 Video synopsis  Graph matching  Camera network  Video surveillance   面向智能视频监控的异常检测与摘要技术研究 学位论文  OAI收割 工学博士, 中国科学院自动化研究所: 中国科学院大学, 2013 作者:  祝晓斌 收藏  |  浏览/下载：88/0  |  提交时间：2015/09/02 视频浓缩  监控网络  轨迹匹配  拥挤场景  异常检测  智能监控  社会力模型  稀疏编码  video synopsis  camera-network  trajectory association  crowded scenario  anomaly detection  video surveillance  social force model  sparse coding   Data normalization of single camera visual measurement network system (EI CONFERENCE) 会议论文  OAI收割 2012 International Conference on Information Technology and Management Innovation, ICITMI 2012, November 10, 2012 - November 11, 2012, Guangzhou, China 作者:  Zhang Y.-C.;  Zhou J. 收藏  |  浏览/下载：26/0  |  提交时间：2013/03/25 With the development of visual measurement system  Normalize the measured coordinates into the same world coordinate system  Apply in the three coordinate measuring machine(CMM) to have the simulation experiment  So the data normalization has the advantage of more high precision. (2013) Trans Tech Publications  the visual measurement system of single camera which applied in the imaging theory of optical feature points  then get the global data  the result indicates that the maximum absolute tolerance between the normalization coordinates via the center of point set and the ones measured by CMM directly is 0.058mm  Switzerland.  it has been widespread used in the modern production. Due to the limit of the environment in scene  and achieve the overall measurement  the visual measurement system of single camera could not measure the shield between the measured objects each other. Focus on this problem  But the one between the coordinate repeatedly measured at the position of one network control point is 0.066mm  present a kind of the the knowledge of measurement network based on the visual measurement of single camera  set up the measurement network system via the multi-control points. Measure the optical feature points in every network control point via the visual measurement system of single camera