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浏览/检索结果: 共21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 Missing recognition of highway shading board based on deep convolution segmentation and correction 会议论文  OAI收割 Dalian, China, 2022-04-14 作者:  Dong, Yuanshuai;  Zhang, Yanhong;  Hou, Yun;  Tong, Xinlong;  Wu, Qingquan   |  收藏  |  浏览/下载：38/0  |  提交时间：2022/07/21 object detection  image segmentation  two-dimensional convex hull  deep convolution network  projection mapping   Stereoscopic Image Retargeting Based on Deep Convolutional Neural Network 期刊论文  OAI收割 IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 12, 页码: 4759-4770 作者:  Fan, Xiaoting;  Lei, Jianjun;  Liang, Jie;  Fang, Yuming;  Ling, Nam   |  收藏  |  浏览/下载：39/0  |  提交时间：2022/06/21 Stereo image processing  Three-dimensional displays  Two dimensional displays  Feature extraction  Distortion  Visualization  Shape  Stereoscopic image  image retargeting  cross-attention  disparity consistency   Incremental Generative Occlusion Adversarial Suppression Network for Person ReID 期刊论文  OAI收割 IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 4212-4224 作者:  Zhao, Cairong;  Lv, Xinbi;  Dou, Shuguang;  Zhang, Shanshan;  Wu, Jun   |  收藏  |  浏览/下载：41/0  |  提交时间：2021/06/07 Feature extraction  Training  Image reconstruction  Body regions  Training data  Cameras  Two dimensional displays  Batch-based incremental occlusion  occlusion suppression  occluded person re-identification   Stereoscopic Image Stitching via Disparity-Constrained Warping and Blending 期刊论文  OAI收割 IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 3, 页码: 655-665 作者:  Fan, Xiaoting;  Lei, Jianjun;  Fang, Yuming;  Huang, Qingming;  Ling, Nam   |  收藏  |  浏览/下载：30/0  |  提交时间：2020/12/10 Stereo image processing  Distortion  Two dimensional displays  Visualization  Minimization methods  Shape  Feature extraction  Stereoscopic image  image stitching  disparity consistency  multi-constraint warping  seam-cutting and blending   The research about radiometric technology of two-dimensional rotary table based on image gray level 期刊论文  OAI收割 Eurasip Journal on Image and Video Processing, 2019, 页码: 11 作者:  X.Y.Xue;  C.X.Liu;  J.Qiao;  W.B.Zhang;  N.Li   |  收藏  |  浏览/下载：21/0  |  提交时间：2020/08/24 Image processing,Image grayscale,Two-dimensional turntable,Radiation,measurement,Measurement model,Dynamic calibration,Engineering,Imaging Science & Photographic Technology   Radial Hahn Moment Invariants for 2D and 3D Image Recognition 期刊论文  OAI收割 International Journal of Automation and Computing, 2018, 卷号: 15, 期号: 3, 页码: 277-289 作者:  Mostafa El Mallahi;  Amal Zouhri;  Anass El Affar;  Ahmed Tahiri;  Hassan Qjidaa   |  收藏  |  浏览/下载：9/0  |  提交时间：2021/02/23 Orthogonal moments  two-dimensional and three-dimensional (2D and 3D) radial Hahn moments  Hahn polynomials  image reconstruction  2D and 3D rotation invariants.   Nuclear Norm-Based 2DLPP for Image Classification 期刊论文  OAI收割 IEEE TRANSACTIONS ON MULTIMEDIA, 2017, 卷号: 19, 期号: 11, 页码: 2391-2403 作者:  Lu, Yuwu;  Yuan, Chun;  Lai, Zhihui;  Li, Xuelong;  Wong, Wai Keung   |  收藏  |  浏览/下载：56/0  |  提交时间：2017/12/25 Image Classification  Preserving Projections  Robust  Two-dimensional   Visibility enhancement in two-dimensional lensless ghost imaging with true thermal light 期刊论文  OAI收割 CHINESE PHYSICS B, 2017, 卷号: 26, 期号: 6, 页码: 60702 作者:  Chen, Xi-Hao;  Yan, Ling;  Wu, Wei;  Meng, Shao-Ying;  Wu, Ling-An 收藏  |  浏览/下载：43/0  |  提交时间：2017/09/14 ghost imaging  true thermal light  image visibility  two-dimensional image   Characteristic point match algorithm based on the SURF in binocular stereo vision (EI CONFERENCE) 会议论文  OAI收割 5th International Conference on Intelligent Networks and Intelligent Systems, ICINIS 2012, November 1, 2012 - November 3, 2012, Tianjin, China 作者:  Wang L.;  Wang L.;  Wang L.;  Yang L.;  Yang L. 收藏  |  浏览/下载：27/0  |  提交时间：2013/03/25 One of the main components of the computer vision is 3D reconstruction. Extracts and the match based on two-dimensional picture characteristic point is the 3D reconstruction technology core. Taking binocular stereoscopic vision theory as a foundation  through extracts the characteristics of SURF based on the multi-scale analysis  this feature has specific scale reproducibility  put the epipolar constraints and disparity constraints as conditions judgement to specific screening  it is greatly reduced the search range. The experiment use the matching method for three different actual scenes  the results shows that the method can enhance the image matching speed and precision  and can get more precise dense parallax  used for reconstruction complete scene. 2012 IEEE.   Image compression based on contourlet and no lists SPIHT (EI CONFERENCE) 会议论文  OAI收割 2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China 作者:  Zhang S. 收藏  |  浏览/下载：46/0  |  提交时间：2013/03/25 The volume of raw image data captured by the high resolution camera is extremely huge. Thus the efficient image compression method should be used to decrease the bit rate. The image compression method based on wavelet is used more widely nowadays. However  two dimensional wavelet is only the tensor product of the one dimensional wavelet whose support region of basis function is extended from interval to square. Contourlet is an image multiscale geometric analysis tool  which could represent image sparsely and has strong capability of nonlinear approximation. The basis function of contourlet is multidirectional and anisotropic. Nevertheless  contourlet is redundant. So the non-redundant Wavelet Based Contourlet Transform (WBCT) is used in this paper. The SPIHT algorithm is very efficient way to coding the significant coefficients. And the improved no lists SPIHT is more easy to implemented by hardware. Image compression method based on the combination of both wavelet based contourlet transform and no lists SPIHT coding is proposed in the paper. Experiment shows that compared to wavelet based scheme the contourlet scheme can reserve the texture of the image. For barbara test image when coding at low bit rate the PSNR can improve about 0.2dB. 2010 IEEE.