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检索条件"机构=Center for Image Processing and Computer Vision"
57 条 记 录,以下是21-30 订阅
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Coral reef mosaicking using Teardrop and Fast image Labeling
Coral reef mosaicking using Teardrop and Fast Image Labeling
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OCEANS 2012 MTS/IEEE Yeosu Conference: The Living Ocean and Coast - Diversity of Resources and Sustainable Activities
作者: Corpuz, Francis James Naval, Prospero Capili, Eusebio Jauod, Jaylord Judilla, Roel John Soriano, Maricor Vision and Image Processing Group National Institute of Physics University of the Philippines Diliman Quezon City Philippines Department of Computer Science College of Engineering University of the Philippines Diliman Quezon City Philippines Mapua Robotics Center Special Projects Laboratory Mapua Institute of Technology Intramuros Manila Philippines
In this paper, we present an inexpensive system for diverless video capture and fast image stitching of image frames for rapid reef assessment of shallow coral reefs. Our system has two main components: 1) Teardrop, a... 详细信息
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Interest Point Based Tracking
Interest Point Based Tracking
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International Conference on Pattern Recognition
作者: Werner Kloihofer Martin Kampel Research and Development Image Processing Center Communication Systems GmbH Vienna Austria Computer Vision Laboratory University of Technology Vienna Vienna Austria
This paper deals with a novel method for object tracking. In the first step interest points are detected and feature descriptors around them are calculated. Sets of known points are created, allowing tracking based on... 详细信息
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Partial shape recognition: a landmark-based approach
Partial shape recognition: a landmark-based approach
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IEEE International Conference on Systems, Man and Cybernetics
作者: N. Ansari E.J. Delp Center for Communications and Signal Processing Electrical and Computer Engineering Department New Jersey Institute of Technology Newark NJ USA Computer Vision and Image Processing Laboratory School of Electrical Engineering Purdue University IN USA
A technique to guide landmark matching known as hopping dynamic programming is described. The location of the model in the scene is estimated with a least-squares fit. A heuristic measure is then computed to decide if... 详细信息
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Analysis of texture images using robust fractal description
Analysis of texture images using robust fractal description
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IEEE Southwest Symposium on image Analysis and Interpretation
作者: N. Avadhanam S. Mitra Center for Image Processing & Integrated Computing Department of Electrical & Computer Engineering University of California Davis CA USA Computer Vision and Image Analysis Lab Department of Electrical Engineering Texas Tech University Lubbock TX USA
A maximum likelihood estimation (MLE) method is used to estimate the fractal dimension of a number of natural texture images with and without the presence of noise. An additional texture measure which can be linked to... 详细信息
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A step towards understanding why classification helps regression
A step towards understanding why classification helps regres...
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International Conference on computer vision (ICCV)
作者: Silvia L. Pintea Yancong Lin Jouke Dijkstra Jan C. van Gemert Computer Vision Lab Delft University of Technology Division of Image Processing (LKEB) Leiden University Medical Center Intelligent Vehicles Group Delft University of Technology
A number of computer vision deep regression approaches report improved results when adding a classification loss to the regression loss. Here, we explore why this is useful in practice and when it is beneficial. To do...
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Edgy salient local binary patterns in inter-plane relationship for image retrieval in Diabetic Retinopathy
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Procedia computer Science 2017年 115卷 440-447页
作者: Gajanan M. Galshetwar Laxman M. Waghmare Anil B. Gonde Subrahmanyam Murala Center of Excellence in Signal and Image Processing (COESIP) Department of ECE SGGSIET Nanded Maharashtra 431606 India Computer Vision and Pattern Recognition Laboratory Department of Electrical Engineering IIT Ropar Rupnagar 140001 India
In this paper, a novel approach for content based image retrieval (CBIR) in diabetic retinopathy (DR) is proposed. The concept of salient point selection and inter-plane relationship technique is used. Salient points ... 详细信息
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Contrast Sensitivity Functions in Autoencoders
arXiv
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arXiv 2021年
作者: Li, Qiang Gomez-Villa, Alex Bertalmío, Marcelo Malo, Jesús Image Processing Lab Parc Cientific Universitat de València Spain Computer Vision Center Universitat Autònoma de Barcelona Spain Spain
Three decades ago, Atick et al. suggested that human frequency sensitivity may emerge from the enhancement required for a more efficient analysis of retinal images. Here we reassess the relevance of low-level vision t... 详细信息
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Beyond One-hot Encoding: Lower dimensional target embedding
arXiv
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arXiv 2018年
作者: Rodríguez, Pau Bautista, Miguel A. Gonzàlez, Jordi Escalera, Sergio Computer Vision Center Universitat Autònoma de Barcelona Spain Heidelberg Collaboratory for Image Processing Heidelberg University Germany University of Barcelona Barcelona Spain
Target encoding plays a central role when learning Convolutional Neural Networks. In this realm, One-hot encoding is the most prevalent strategy due to its simplicity. However, this so widespread encoding schema assum... 详细信息
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Rapid shallow coastal coral reef mapping using the teardrop system
Rapid shallow coastal coral reef mapping using the teardrop ...
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OCEANS
作者: Francis James Corpuz Prospero Naval Eusebio Capili Jaylord Jauod Roel John Judilla Maricor Soriano Computer Vision and Machine University of the Philippines Diliman Quezon City Philippines Mapua Robotics Center Mapua Institute of Technology Manila Philippines Vision and Image Processing Group University of the Philippines Diliman Quezon City Philippines
We present a rapid shallow coastal reef mapping system using a previously developed inexpensive diver less video capture system coupled with a fast-image mosaicking technique, using an affordable GPS logging device. T... 详细信息
来源: 评论
Machine learning predicts long-term mortality after acute myocardial infarction using systolic time intervals and routinely collected clinical data
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Intelligent Medicine 2024年 第3期4卷 170-176页
作者: Bijan Roudini Boshra Khajehpiri Hamid Abrishami Moghaddam Mohamad Forouzanfar Department of Systems Engineering School of Advanced TechnologyUniversity of QuebecMontrealCanada Machine Vision and Medical Image Processing(MVMIP)Laboratory Faculty of Electrical and Computer EngineeringK.N.Toosi University of TechnologyTehranIran Research Center of the Montreal University Institute of Geriatrics MontrealCanada
Background Precise estimation of current and future comorbidities of patients with cardiovascular disease is an important factor in prioritizing continuous physiological monitoring and new *** learning(ML)models have ... 详细信息
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