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• OAI收割 [16]
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• Engineerin... [1]
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筛选

浏览/检索结果: 共17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 Deep Intra Prediction by Jointly Exploiting Local and Non-Local Similarities 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 5, 页码: 2396-2409 作者:  Lei, Meng;  Zhang, Jiaqi;  Wang, Shiqi;  Wang, Shanshe;  Ma, Siwei   |  收藏  |  浏览/下载：14/0  |  提交时间：2023/12/04 Correlation  Predictive models  Deep learning  Video coding  Image reconstruction  Encoding  Convolutional neural networks  Intra prediction  attention mechanism  template matching  non-local operation   A New Local Grid Reconstruction Algorithm for Cracking Simulation in Rock-Like Material 期刊论文  OAI收割 ROCK MECHANICS AND ROCK ENGINEERING, 2022 作者:  Wang, Zhaofeng;  Pan, Peng-Zhi;  Hou, Wenbo   |  收藏  |  浏览/下载：16/0  |  提交时间：2023/08/02 Local grid reconstruction  Mesh generation  Crack propagation  Adaptive refinement  Discrete interface  Fracturing process   Exploring highly reliable substructures in auto-reconstructions of a neuron 期刊论文  OAI收割 Brain Informatics, 2021, 卷号: 8, 期号: 1 作者:  He,Yishan;  Huang,Jiajin;  Wu,Gaowei;  Yang,Jian   |  收藏  |  浏览/下载：45/0  |  提交时间：2021/11/03 Neuronal morphology  Reconstruction  Local alignment  Motif   Exploiting Embedding Manifold of Autoencoders for Hyperspectral Anomaly Detection 期刊论文  OAI收割 IEEE Transactions on Geoscience and Remote Sensing, 2020, 卷号: 58, 期号: 3, 页码: 1527-1537 作者:  Lu, Xiaoqiang;  Zhang, Wuxia;  Huang, Ju   |  收藏  |  浏览/下载：52/0  |  提交时间：2020/03/23 Autoencoder (AE)  global reconstruction  hyperspectral imagery (HSI)  hyperspetral anomaly detection  local reconstruction  manifold learning   A Performance Evaluation of Local Features for Image-Based 3D Reconstruction 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 10, 页码: 4774-4789 作者:  Fan, Bin;  Kong, Qingqun;  Wang, Xinchao;  Wang, Zhiheng;  Xiang, Shiming   |  收藏  |  浏览/下载：86/0  |  提交时间：2019/12/16 Local feature  image reconstruction  structure from motion (SFM)  3D vision  image matching   Spatial Resolution and Precision Properties of Scatterometer Reconstruction Algorithms 期刊论文  OAI收割 IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 卷号: 10, 期号: 5, 页码: 2372-2382 作者:  Liu, Liling;  Dong, Xiaolong 收藏  |  浏览/下载：31/0  |  提交时间：2017/09/14 Local impulse response  reconstruction algorithms  resolution  scatterometer  spatial response function (SRF)   Interior tomography with curvelet-based regularization 期刊论文  OAI收割 JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY, 2017, 卷号: 25, 期号: 1, 页码: 1-13 作者:  Liu, BD;  Yu, HY;  Katsevich, A;  Liu BD(刘宝东)   |  收藏  |  浏览/下载：22/0  |  提交时间：2019/08/27 Computed tomography (CT)  local reconstruction  interior tomography  radon transform  curvelet transform  regularization method   Interior tomography with curvelet-based regularization 期刊论文  iSwitch采集 Journal of x-ray science and technology, 2017, 卷号: 25, 期号: 1, 页码: 1-13 作者:  Liu, Baodong;  Katsevich, Alexander;  Yu, Hengyong 收藏  |  浏览/下载：28/0  |  提交时间：2019/04/23 Computed tomography (ct)  Local reconstruction  Interior tomography  Radon transform  Curvelet transform  Regularization method   An Improved Nyquist-Shannon Irregular Sampling Theorem From Local Averages 期刊论文  OAI收割 ieee transactions on information theory, 2012, 卷号: 58, 期号: 9, 页码: 6093-6100 作者:  Song, Zhanjie;  Liu, Bei;  Pang, Yanwei;  Hou, Chunping;  Li, Xuelong 收藏  |  浏览/下载：20/0  |  提交时间：2012/11/30 Band-limited signal  irregular sampling  sampling from local averages  signal reconstruction   Features extraction and matching of teeth image based on the SIFT algorithm (EI CONFERENCE) 会议论文  OAI收割 2012 2nd International Conference on Computer Application and System Modeling, ICCASM 2012, July 27, 2012 - July 29, 2012, Shenyang, China 作者:  Wang X.;  Wang X.;  Wang X. 收藏  |  浏览/下载：28/0  |  提交时间：2013/03/25 Using of SIFT algorithm in the image of teeth model  can detect the features of the teeth image effectively. In this approach  first  search over all scales and image locations by using a difference-of-Gaussian function to identify potential interest points that are invariant to scale and orientation. Second  select keypoints based on measures of their stability and a detailed model is fit to determine location and scale at each candidate location. Third  assign one or more orientations to each keypoint location based on local image gradient directions. Last  measure the local image gradients at the selected scale in the region around each keypoint. And then use the KNN algorithm to match the features. Through lots of experiments and comparing with other feature extraction methods  this method can detect the features of the teeth model effectively  and offer some available parameters for 3D reconstruction of the teeth model. the authors.