机构

• 长春光学精密机械与物... [3]
• 自动化研究所 [3]
• 光电技术研究所 [2]
• 计算技术研究所 [1]
• 沈阳自动化研究所 [1]
• 西安光学精密机械研究... [1]
• 更多

采集方式

• OAI收割 [11]

内容类型

• 期刊论文 [8]
• 会议论文 [2]
• 学位论文 [1]

发表日期

• 2023 [3]
• 2021 [1]
• 2020 [1]
• 2019 [1]
• 2018 [2]
• 2011 [1]
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学科主题

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浏览/检索结果: 共11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 STAR-TM: STructure Aware Reconstruction of Textured Mesh From Single Image 期刊论文  OAI收割 IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 12, 页码: 15680-15693 作者:  Wu, Tong;  Gao, Lin;  Zhang, Ling-Xiao;  Lai, Yu-Kun;  Zhang, Hao   |  收藏  |  浏览/下载：27/0  |  提交时间：2024/05/20 Image reconstruction  Shape  Transformers  Periodic structures  Three-dimensional displays  Semantics  Training  Structure-aware single-view 3D reconstruction  textured meshes  texture completion  transformer   Interactive piecewise planar building reconstruction from a single image based on geometric priors 期刊论文  OAI收割 EXPERT SYSTEMS WITH APPLICATIONS, 2023, 卷号: 230, 页码: 15 作者:  Wang, Wei;  Dong, Qiulei;  Hu, Zhanyi   |  收藏  |  浏览/下载：16/0  |  提交时间：2023/11/17 Single-image reconstruction  Geometric prior  User interaction  Plane optimization  Convolutional neural network   Single-image piecewise planar reconstruction of urban buildings based on geometric priors 期刊论文  OAI收割 ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2023, 卷号: 204, 页码: 105-116 作者:  Wang, Wei;  Dong, Qiulei;  Hu, Zhanyi   |  收藏  |  浏览/下载：16/0  |  提交时间：2023/11/16 Single-image 3D reconstruction  Piecewise planar reconstruction  Geometric prior  Urban building  Structure and proximity constraints   Adversarial Multi-Path Residual Network for Image Super-Resolution 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 6648-6658 作者:  Wang QQ(王倩倩);  Gao QX(高全学);  Wu, Linlu;  Sun G(孙干);  Jiao, Licheng   |  收藏  |  浏览/下载：25/0  |  提交时间：2021/08/12 Feature extraction  Residual neural networks  Superresolution  Generative adversarial networks  Image reconstruction  Generators  Training  Single image super-resolution (SISR)  residual learning  deep convolutional neural network   Optimization Methods of Compressively Sensed Image Reconstruction Based on Single-Pixel Imaging 期刊论文  OAI收割 Applied Sciences-Basel, 2020, 卷号: 10, 期号: 3, 页码: 10093288-1-24 作者:  Wei, Ziran;  Zhang, Jianlin;  Xu, Zhiyong   |  收藏  |  浏览/下载：42/0  |  提交时间：2021/05/11 Wavelet Decomposition Basis  Sensing Matrix  Image Reconstruction  Compressive Sensing  Single-pixel Imaging   Improving the signal-to-noise ratio of superresolution imaging based on single-pixel camera 期刊论文  OAI收割 IEEE Photonics Journal, 2019, 卷号: 11, 期号: 1 作者:  Wei, Ziran;  Zhang, Jianlin;  Xu, Zhiyong;  Liu, Yong;  Huang, Yongmei   |  收藏  |  浏览/下载：21/0  |  提交时间：2021/05/06 Single pixel camera  super resolution  sparse representation  measurement matrix  image reconstruction   Optical aberration correction for simple lenses via sparse representation 期刊论文  OAI收割 Optics Communications, 2018, 卷号: 412, 页码: 201-213 作者:  Cui, J. L.;  Huang, W.   |  收藏  |  浏览/下载：20/0  |  提交时间：2019/09/17 Image reconstruction resolution  Blind deconvolution  Nonblind  deconvolution  Digital image processing  Lens system design  single image superresolution  blind deconvolution  quality assessment  dictionary  priors  Optics   Imaging of hidden object using passive mode single pixel imaging with compressive sensing 期刊论文  OAI收割 Laser Physics Letters, 2018, 卷号: 15, 期号: 12, 页码: 6 作者:  Chen, Q.;  Chamoli, S. K.;  Yin, P.;  Wang, X.;  Xu, X. P.   |  收藏  |  浏览/下载：15/0  |  提交时间：2019/09/17 single pixel imaging  compressive sensing  image reconstruction  hidden  object  reconstruction  Optics  Physics   Optical imaging based on compressive sensing 会议论文  OAI收割 international symposium on photoelectronic detection and imaging 2011: advances in imaging detectors and applications, beijing, china, may 24, 2011 - may 26, 2014 LiShen; MaCai-Wen; XiaAi-Li 收藏  |  浏览/下载：20/0  |  提交时间：2012/07/09 Sparsity  Data acquisition  Image Coding  Reconstruction algorithms  Single-pixel camera  Compressive sensing   Adaptive resolution storage system based on LOG-POLAR transform for multi-target trackers (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China 作者:  Zhang Y. 收藏  |  浏览/下载：22/0  |  提交时间：2013/03/25 The main constrained problem of the video monitoring and storage system is the contradiction between large field of view and storage space limitations. Not all of the video information introduced by the image sensors need to be recorded especially for some tracking system which has appointed functions to track specifically kinds of targets. For instance  the system not only works for single target  if the monitor is appointed for human face tracking  but also can work for multi-targets. High reconstruction resolution in the fovea region enables the successive application of recognition modules without sacrificing their performance  the best system appears to be concentrating on human face only and all the others considered being background  the low reconstruction resolution in the periphery helps to reduce the video data. 2010 IEEE.  the background regions needn't to be recorded in detail. For this purpose  this letter presents a real-time foveate storage system  which efficiently represents the video image in log-polar coordinates  with the foveate point centered on the target