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检索条件"任意字段=6th Indian Conference on Computer Vision, Graphics and Image Processing"
2011 条 记 录,以下是591-600 订阅
排序:
Defect Detection of Wood Grain images with image Gradient Applied to AE-based generation  6
Defect Detection of Wood Grain Images with Image Gradient Ap...
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6th IEEE International conference on Knowledge Innovation and Invention, ICKII 2023
作者: Si, Jongwook Kim, Sungyoung Kumoh National Institute of Technology Department of Computer Ai Convergence Engineering Gumi Korea Republic of Kumoh National Institute of Technology Department of Computer Engineering Gumi Korea Republic of
Detecting and managing various types of defects that occur in the manufacturing process is important for product quality control. Detecting flaws in product presentation is an ongoing research topic in computer vision... 详细信息
来源: 评论
Machine learning content adaptive filters for image de-blurring  13
Machine learning content adaptive filters for image de-blurr...
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13th International conference on Interfaces and Human computer Interaction 2019, IHCI 2019, 12th International conference on Game and Entertainment Technologies 2019, GET 2019 and 13th International conference on computer graphics, Visualization, computer vision and image processing 2019, CGVCVIP 2019
作者: Mainali, Pradip OneSpan Belgium
this paper proposes a novel algorithm to recover blindly a sharp image from its degraded form by pixel pattern classification and filtering by using the deconvolution filters trained for the corresponding pixel patter... 详细信息
来源: 评论
Effect of Particle image Velocimetry processing on CT Dicom images in a deep learning based pipeline for lung nodule segmentationg±  13
Effect of Particle Image Velocimetry processing on CT Dicom ...
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13th indian conference on computer vision, graphics, and image processing, ICVGIP 2022
作者: Suji, R Jenkin Godfrey, W Wilfred Dhar, Joydip ABV-IIITM Gwalior Madhya Pradesh Gwalior India
Segmentation of lung nodules is critical to computer-aided diagnosis systems for lung cancer diagnosis. In recent times, with the application of deep learning in medical image processing, novel architectures have been... 详细信息
来源: 评论
Reconstruction of Sparse-View Tomography via Banded Matrices  10
Reconstruction of Sparse-View Tomography via Banded Matrices
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10th indian conference on vision, graphics and image processing (ICVGIP)
作者: Prasad, T. Kumar, P. U. Praveen Sastry, C. S. Jampana, P. V. Indian Inst Technol Hyderabad Dept Math Hyderabad Telangana India Indian Inst Technol Hyderabad Dept Chem Engn Hyderabad Telangana India
Computed Tomography (CT) is one of the significant research areas in medical image analysis. One of the main aspects of CT that researchers remain focused, is on reducing the dosage as Xrays are generally harmful to h... 详细信息
来源: 评论
Realtime motion detection based on the spatio-temporal median filter using GPU integral histograms  12
Realtime motion detection based on the spatio-temporal media...
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8th indian conference on computer vision, graphics and image processing, ICVGIP 2012
作者: Poostchi, Mahdieh Palaniappan, Kannappan Bunyak, Filiz Seetharaman, Guna Dept. of Computer Science University of Missouri Columbia MO United States Air Force Research Laboratory Rome NY United States
Motion detection using background modeling is a widely used technique in object tracking. To meet the demands of real-time multi-target tracking applications in large and/or high resolution imagery fast parallel algor... 详细信息
来源: 评论
Real-time hands-free immersive image navigation system using Microsoft Kinect 2.0 and Leap Motion Controller  5
Real-time hands-free immersive image navigation system using...
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5th National conference on computer vision, Pattern Recognition, image processing and graphics, NCVPRIPG 2015
作者: Sreejith, M. Rakesh, Siddharth Gupta, Samik Biswas, Samprit Das, Partha Pratim Department of Computer Science and Engineering Indian Institute of Technology Kharagpur721302 India
this paper presents a real-time hands-free immersive image navigation system that can respond to various gestures and voice commands. We combine Microsoft Kinect 2.0 and Leap Motion Controller, on a single platform, t... 详细信息
来源: 评论
Proceedings of the 2009 6th International conference on computer graphics, Imaging and Visualization: New Advances and Trends, CGIV2009
Proceedings of the 2009 6th International Conference on Comp...
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2009 6th International conference on computer graphics, Imaging and Visualization: New Advances and Trends, CGIV2009
the proceedings contain 92 papers. the topics discussed include: GPU supported patch-based tessellation for dual subdivision;ball robot and the graphics generation and its image calculation based on cad geometric mode...
来源: 评论
COMA-Boost: Co-Operative Multi Agent AdaBoost  16
COMA-Boost: Co-Operative Multi Agent AdaBoost
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10th indian conference on computer vision, graphics and image processing (ICVGIP)
作者: Lahiri, Avisek Paria, Biswajit Biswas, Prabir Kumar IIT Kharagpur Dept E&ECE Kharagpur W Bengal India IIT Kharagpur Dept CSE Kharagpur W Bengal India
A Abstract : Multi feature space representation is a common practise in computer vision applications. Traditional features such as HOG, SIFT, SURF etc., individually encapsulates certain discriminative cues for visual... 详细信息
来源: 评论
Performance Comparison of Object Detection algorithms with different Feature Extractors  6
Performance Comparison of Object Detection algorithms with d...
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6th International conference on Signal processing and Integrated Networks (SPIN)
作者: Gupta, Archit Puri, Raghav Verma, Mrinal Gunjyal, Siddharth Kumar, Ashish BVCOE ECE Dept New Delhi India
In this work, speed vs accuracy of different Neural Network architectures using alternate feature extractors in the field of Object Detection is being computed, thereby finding the fastest and most accurate architectu... 详细信息
来源: 评论
Fast and Generalisable License Plate Re-identification using Neural Embedding of Fisher Vectors  11
Fast and Generalisable License Plate Re-identification using...
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11th indian conference on computer vision, graphics and image processing (ICVGIP)
作者: Kumar, Abhinav Gupta, Shantanu Kozitsky, Vladimir Madhvanath, Sriganesh Univ Utah Salt Lake City UT 84112 USA Univ Wisconsin Madison WI USA MKS Instruments Andover MA USA eBay New York NY USA Conduent Labs Res Triangle Pk NC USA
We consider the license plate re-identification task, treated here as a one-shot image retrieval problem. Our objective is to learn a feature representation for license plate images, such that a single training image ... 详细信息
来源: 评论