Computer Vision
Computer Vision
... Abstract: Computer vision is the science of endowing computers or other machines with vision, or the ability to ...of computer vision is to model and replicate human vision using ...
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USING COMPUTER VISION IN SECURITY APPLICATIONS
... Abstract: In this paper we present projects developed in the Computer Vision Laboratory, which address the issue of safety. First, we present the Internet Video Server (IVS) monitoring system [5] that sends ...
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Python for Prototyping Computer Vision Applications
... For our testing, we cover different standard algorithms tradi- tionally used in CV applications, as well as some major pro- cesses relevant to computer vision (e.g. image acquisition). Our tests were aiming ...
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Applications of Computational Geometry and Computer Vision
... In this thesis, the first algorithm for finding holes in high dimensional data that runs in polynomial time with respect to the number of dimensions has been developed. Such large hyper-rectangles have been shown to be ...
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Transductive transfer learning for computer vision.
... of computer vision, an image in the most basic representation is defined through a matrix of its pixels intensity values and the semantic organisation of an image database is know as classification where an ...
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Computer Vision Based Route Mapping
... The problem our project solves is the integration of edge detection techniques with mapping libraries to display routes based on images. To do this, we used the OpenCV library within an Android applica- tion. This ...
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Computer vision for microscopy diagnosis of malaria
... There are many different paradigms of computer vision, which can be utilized to build an automated visual analy- sis/recognition system. Existing works on malaria com- monly use mathematical morphology for ...
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Computer Vision Algorithms For An Automated Harvester
... Computer vision [2] could be defined as the science of deploying different methods and algorithms to take, process and analyze images in order to generate appropriate numerical data and information; and ...
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Computer Vision using Ruby and libJIT
... Computer Vision using Ruby and libJIT Jan Wedekind Thu Nov 19 13:15:00 PST 2009 Embassy Suites San Francisco Airport, Room 1... Background EPSRC Nanorobotics Project.[r] ...
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A Study of Linear Algebra for Computer Vision
... Camera modeling is important parts of computer vision. A camera model is a mathematical projection between a 3D object space and a 2D image. These models can be used for calculating the geometric ...
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Learning Multimodal Structures in Computer Vision
... Classification is a well-known problem in computer vision and machine learning com- munities. The classification accuracy is mostly investigated from one individual source of information. However, any ...
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Optimization of Markov Random Fields in Computer Vision
... Finally, we consider the fully connected Conditional Random Field (dense CRF) with Gaussian pairwise potentials that has proven popular and effective for multi- class semantic segmentation. While the energy of a dense ...
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Computer Vision based Toll Collection System
... Source Computer Vision. PC Vision is the change of information from a still camera or camcorder into another choice or another ...give vision to PC or ...
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Sorting of Raisins using Computer Vision Approach
... Digital Image Processing techniques were utilized for feature extraction from an image. In this we are using image processing toolbox in MATLAB and the same is done by using Python. So, instead of human vision, ...
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Overview of Appearance Based Methods in Computer Vision
... Appearance based methods represent a fundamental change in computer vision approaches. The learning phase is computationally expensive and updating the lters as new objects are learned is expensive. The ...
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Object Classfification in Computer Vision with Discriminant Analysis
... A robotic sensor system is always supported by a computer system called ‘computer vision’. The important concept of computer vision is object classfi fi cation. In this study two ...
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Automated shark detection using computer vision
... 5.4 Noise Filtering 54 detected is considered and classified accordingly. However, object tracking using computer vision has had the best results when the camera has been stationary. By using a kalman ...
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Deep Grassmann Manifold Optimization for Computer Vision
... Due to the prevalence of deep learning techniques in the fields of machine learning and computer vision it is particularly important to focus on methods developed for deep learning based domain adaptation. ...
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Difference in Computer Vision Syndrome between Laptop and Desktop Computer Users
... or computer vision syndrome was a set of symptoms or disorders of eyes and vision health because the eyes have to focus for a long time in front of a computer (laptop or PC) or other digital ...
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Mediated Reality using Computer Graphics Hardware for Computer Vision
... for computer–generated information to ap- pear to the user as though it was anchored in the real ...3D computer graphics hardware that is available in a typical wearable computer to accelerate the ...
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