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检索条件"机构=Image Processing and Pattern Recognition Institute"
1348 条 记 录,以下是451-460 订阅
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Classification of gothic and baroque architectural elements
Classification of gothic and baroque architectural elements
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2012 19th International Conference on Systems, Signals and image processing, IWSSIP 2012
作者: Shalunts, Gayane Haxhimusa, Yll Sablatnig, Robert Institute of Computer Aided Automation Computer Vision Lab. Vienna University of Technology Austria Institute of Computer Graphics and Algorithms Pattern Recognition and Image Processing Lab. Vienna University of Technology Austria
Architectural elements are the components and details of buildings. Their unique set, combination, design, construction technique form the architectural style of buildings. Building facade classification by architectu... 详细信息
来源: 评论
Adaptive multi-level region merging for salient object detection  25
Adaptive multi-level region merging for salient object detec...
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25th British Machine Vision Conference, BMVC 2014
作者: Fu, Keren Gong, Chen Yun, Yixiao Li, Yijun Gu, Irene Yu-Hua Yang, Jie Yu, Jingyi Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai China Department of Signals and Systems Chalmers University of Technology Gothenburg Sweden University of Delaware Newark United States
Most existing salient object detection algorithms face the problem of either under-or over-segmenting an image. More recent methods address the problem via multi-level segmentation. However, the number of segmentation... 详细信息
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Graph theory based image segmentation
Graph theory based image segmentation
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Congress on image and Signal processing, CISP
作者: Songhao Zhu Xinshuai Zhu Qingqing Luo Institute of Image Processing and Pattern Recognition Nanjing University of Posts and Telecommunications China
image segmentation is a fundamental process in many image, video, and computer vision applications. It is very essential and critical to image processing and pattern recognition, and determines the quality of final re... 详细信息
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An Self-supervised Learning Self-attention Based Method for Defects Classification on PCB Surface images  2
An Self-supervised Learning Self-attention Based Method for ...
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2nd International Conference on Electronics, Communications and Information Technology, CECIT 2021
作者: Zhou, Lijie Ling, Xufeng Zhu, Shan Sun, Zheng Yang, Jie AI School Tianhua College Shanghai Normal University Shanghai China ASIC Motor Corporation Limited China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China
Automatic detection of PCB defects become a difficult work in electronics industry, with the rapid development of Integrated Circuit. A good detection method can effectively improve production efficiency and reduce th... 详细信息
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OAS-Net: Occlusion Aware Sampling Network for Accurate Optical Flow
OAS-Net: Occlusion Aware Sampling Network for Accurate Optic...
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IEEE International Conference on Acoustics, Speech and Signal processing
作者: Lingtong Kong Xiaohang Yang Jie Yang Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University China
Optical flow estimation is an essential step for many real-world computer vision tasks. Existing deep networks have achieved satisfactory results by mostly employing a pyramidal coarse-to-fine paradigm, where a key pr... 详细信息
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Liver fibrosis identification based on ultrasound images
Liver fibrosis identification based on ultrasound images
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2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
作者: Guitao, Cao Pengfei, Shi Bing, Hu IEEE Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai 200030 China Department of Ultrasound in Medicine Shanghai Sixth Hospital Shanghai Jiaotong University Shanghai 200233 China
Diagnostic ultrasound is one of useful and noninvasive tools for clinical medicine. However, due to its qualitative, subjective and experience-based nature, ultrasound images can be influenced by image conditions such... 详细信息
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Sparse slow feature analysis for enhanced control monitoring and fault isolation  1
Sparse slow feature analysis for enhanced control monitoring...
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1st International Conference on Industrial Artificial Intelligence, IAI 2019
作者: Shang, Chao Huang, Xiaolin Yang, Fan Huang, Dexian Tsinghua University Beijing National Research Center for Information Science and Technology Beijing100084 China Institute of Image Processing and Pattern Recognition Shanghai Jiao Tong University Shanghai200400 China
This paper presents sparse slow feature analysis (SFA) for efficient process monitoring and fault isolation, which is a new latent variable model for time series data. We first recast sparse SFA in terms of a novel re... 详细信息
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Practical multi-camera calibration algorithm with 1D objects for virtual environments
Practical multi-camera calibration algorithm with 1D objects...
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IEEE International Conference on Multimedia and Expo (ICME)
作者: Zijian Zhao Yuncai Liu Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China
A new calibration algorithm for multi-camera systems using the 1D calibration objects is proposed. The algorithm integrates the rank-4 factorization with Zhangpsilas method. The intrinsic parameters as well as the ext... 详细信息
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Fast sar image matching algorithm in naviglation system
Fast sar image matching algorithm in naviglation system
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2003 IEEE Aerospace Conference
作者: Li, Yang Xin, Yuan Shuhua, Wang Institute of Image Processing and Pattern Recognition Shanghai JiaoTong University 1954 HuaShan Road 200030 Shanghai China Nanjing University of Aeronautics and Astronautics 29 YuDao Road 210016 Nanjing China
The paper presents a novel fast matching algorithm between airborne and satellite-borne SAR images so as to efficiently integrate SAR images into GPSISINS navigation system. Because the character such as gray level an... 详细信息
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A new printing measurement method and structure feature extraction of microscopic dot
A new printing measurement method and structure feature extr...
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World Congress on Intelligent Control and Automation (WCICA)
作者: Yonggang Wang Jie Yang Institute of Image Processing and Pattern Recognition Shanghai Jiaotong University Shanghai China
To overcome the drawbacks of print measurements, a novel measurement approach, namely dot structure based measurement, is proposed. In addition, the structure feature extraction of microscopic dot is discussed. The pr... 详细信息
来源: 评论