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浏览/检索结果: 共14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 Multi-Resolution and Semantic-Aware Bidirectional Adapter for Multi-Scale Object Detection 期刊论文  OAI收割 APPLIED SCIENCES-BASEL, 2023, 卷号: 13, 期号: 23, 页码: 19 作者:  Li, Zekun;  Pan, Jin;  He, Peidong;  Zhang, Ziqi;  Zhao, Chunlu   |  收藏  |  浏览/下载：40/0  |  提交时间：2024/02/22 object detection  scale variation  transformer  multi-level fusion   Consistent scale normalization for object perception 期刊论文  OAI收割 APPLIED INTELLIGENCE, 2021, 期号: 51, 页码: 4490-4502 作者:  Zewen He;  He Huang;  Yudong Wu;  Xuebing Yang;  Wensheng Zhang   |  收藏  |  浏览/下载：36/0  |  提交时间：2021/03/01 Object detection  Scale variation  Scale normalization  Feature Pyramid Network (FPN)   Learning region-guided scale-aware feature selection for object detection 期刊论文  OAI收割 NEURAL COMPUTING & APPLICATIONS, 2020 作者:  Liu, Liu;  Wang, Rujing;  Xie, Chengjun;  Li, Rui;  Wang, Fangyuan   |  收藏  |  浏览/下载：34/0  |  提交时间：2020/11/30 Scale variation  Object detection  RoI Pyramid  Scale-aware feature selective   Applying maximally stable extremal regions and local binary patterns for guide-wire detecting in percutaneous coronary intervention 期刊论文  OAI收割 IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 13, 页码: 2579-2586 作者:  Pusit, Prasong;  Xie, Xiao-Liang;  Hou, Zeng-Guang   |  收藏  |  浏览/下载：52/0  |  提交时间：2020/03/30 blood vessels  medical image processing  surgery  image sequences  video signal processing  image filtering  object detection  X-ray imaging  object tracking  stroke width variation filter  region detection  local binary patterns  guide-wire recognition  conventional MSER methods  maximally stable extremal regions  guide-wire position  anatomical skeleton contours  training data  X-ray video sequence  percutaneous coronary intervention surgery  region area range filter  X-ray video monitoring  guide-wire tip detection  modified multifilters  training templates   Moving Object Detection Using Tensor-Based Low-Rank and Saliently Fused-Sparse Decomposition 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 2, 页码: 724-737 作者:  Hu, Wenrui;  Yang, Yehui;  Zhang, Wensheng;  Xie, Yuan   |  收藏  |  浏览/下载：52/0  |  提交时间：2017/09/12 Moving Object Detection  Tensor Nuclear Norm  Tensor Total Variation  Space-time Visual Saliency   Period of Light Variability in BL Lac ON 231 会议论文  OAI收割 Conference on Multiwavelength Variability of Blazars, Guangzhou, PEOPLES R CHINA, 2010-09-22 作者:  Bing, XY;  Zhang HJ(张皓晶);  Xiong, Z;  Ming, MW;  Tong, DF 收藏  |  浏览/下载：21/0  |  提交时间：2015/11/26 BL Lac object individual: ON 231  period of light variation  methods: wavelet analysis method, DCF analysis method   The study of mapping relation of aeroplane complex motion and image movement and compensation technique (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 Wei Z.; Wang Y.-Y.; Xue W.-Q.; Dai M. 收藏  |  浏览/下载：23/0  |  提交时间：2013/03/25 In order to solve the problem of image blurring due to the image motion which results from the aircraft's motion  attitude changes  and the relative motion of the camera and aircraft firstly  we install linear displacement transducer on the four shock absorbers. By analyzing the displacement values  the geometrical relationship between the camera and the aircraft is acquired  then relative motion amount between the object and the aircraft is obtained according to the motion and attitude changes. After that  making use of geometrical relationship  we can calculate the displacement variation of pixels within the camera exposure time. Thereafter  taking consider variable motion and non-linear motion as uniform motion in a straight line at the moment of imaging  then the model of the blurring image can be established according to the displacement variation of pixels within the camera exposure time  and fuzzy point spread function in the two-dimensional movement is built. By using Wiener filtering method with the optimal window  the image blurring is eliminated in aerial imaging system. Practice proved that this method can effectively eliminate the image blurring in the aerial imaging system. 2010 IEEE.   Developing image-contrast theory and analysis methods in high-resolution electron microscopy 期刊论文  OAI收割 PHYSICA STATUS SOLIDI A-APPLICATIONS AND MATERIALS SCIENCE, 2010, 卷号: 207, 期号: 12, 页码: 2639 Li, FH 收藏  |  浏览/下载：38/0  |  提交时间：2013/09/17 INCOMMENSURATE MODULATED STRUCTURES  PHASE-OBJECT APPROXIMATION  EXIT-WAVE RECONSTRUCTION  CRYSTAL-STRUCTURES  ATOMIC CONFIGURATION  MISFIT DISLOCATIONS  LOMER DISLOCATION  FOCUS-VARIATION  FOURIER IMAGES  CORE STRUCTURE   Mean shift tracking combining SIFT (EI CONFERENCE) 会议论文  OAI收割 2008 9th International Conference on Signal Processing, ICSP 2008, October 26, 2008 - October 29, 2008, Beijing, China 作者:  Xue C. 收藏  |  浏览/下载：66/0  |  提交时间：2013/03/25 A novel visual tracking algorithm to cope with occlusion and scale variation is proposed. This method combines mean shift and SIFT algorithm to track object. SIFT algorithm is invariant to rotation  translation and scale variation. But it is a timeconsuming algorithm. The wasting time is related to image size. So the proposed algorithm first adopts mean shift to initially locate object position  then SIFT operator is used to detect features in object area and model area  lastly  the proposed method matches features in these two areas and calculates the relationship between them using affine transform. According to affine transform parameters  the state of object can be adjusted in time. In order to reduce process time  an improved feature matching algorithm is proposed in this paper. Experiments show that the proposed algorithm deals with occlusion successfully and can adjust object size in time. 2008 IEEE.   Using P2DHMM to detect airplane variations in remote sensing image 会议论文  OAI收割 Igarss: 2007 Ieee International Geoscience and Remote Sensing Symposium, Vols 1-12: Sensing and Understanding Our Planet, New York Ma Jianwen; Xi Xiaoyan; Wen Qi; Li Liwei 收藏  |  浏览/下载：21/0  |  提交时间：2014/12/07 pseudo two dimension hidden Markov model (P2DHMM)  object variation