Description: TI 成功演示 1GHz DSP，适合人工视觉等实时应用-successfully demonstrated 1GHz TI DSP, such as artificial vision for real-time applications Platform: |
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Author:陈旭 |
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Description: Artificial vision library. Objectives are to make an OCR, fingerprint and face identification as some applications through a general purpose learning and pattern relationships algorithm (Currently performs very basic identification). -Artificial vision library. Objectives ar e to make an OCR. fingerprint and face identification as some ap plications through a general purpose learning relationships and pattern algorithm (Current ly performs very basic identification). Platform: |
Size: 95983 |
Author:老陈 |
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Description: TI 成功演示 1GHz DSP，适合人工视觉等实时应用-successfully demonstrated 1GHz TI DSP, such as artificial vision for real-time applications Platform: |
Size: 5120 |
Author:陈旭 |
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Description: Artificial vision library. Objectives are to make an OCR, fingerprint and face identification as some applications through a general purpose learning and pattern relationships algorithm (Currently performs very basic identification). -Artificial vision library. Objectives ar e to make an OCR. fingerprint and face identification as some ap plications through a general purpose learning relationships and pattern algorithm (Current ly performs very basic identification). Platform: |
Size: 96256 |
Author:老陈 |
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Description: JavaANPR是一个自动车牌识别程序，此程序采用了的了人工智能、机器视觉业绩神经网络的算法。-JavaANPR is an automatic number plate recognition software, which implements algorithmic and mathematical principles from field of artificial intelligence, machine vision and neural networks. Platform: |
Size: 962560 |
Author:Thomas |
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Description: The potential of solving real-time demanding industrial applications, using vision-based
algorithms, drastically grew due to an increasing availability of computational power.
In this thesis a novel real-time, vision-based Blackjack analysis system is presented. The
embedding of the vision algorithms in a compound system of other information sources such
as an electronic chip tray, reduces the vision task to detect cards and chips. Robust results
are achieved by not just analyzing single frames but an image stream regarding game-ß ow
informations. The requirements for such a system are a highly robust and adaptive behav-
ior. This is motivated by the vital interest of casino entrepreneurs in a 100 statistical
analysis of their offered gambling in order to support the business plan, measuring table
and dealer performance and give accurate player rating. Extensive experiments show the
robustness and applicability of the proposed system.-The potential of solving real-time demanding industrial applications, using vision-based
algorithms, drastically grew due to an increasing availability of computational power.
In this thesis a novel real-time, vision-based Blackjack analysis system is presented. The
embedding of the vision algorithms in a compound system of other information sources such
as an electronic chip tray, reduces the vision task to detect cards and chips. Robust results
are achieved by not just analyzing single frames but an image stream regarding game-ß ow
informations. The requirements for such a system are a highly robust and adaptive behav-
ior. This is motivated by the vital interest of casino entrepreneurs in a 100 statistical
analysis of their offered gambling in order to support the business plan, measuring table
and dealer performance and give accurate player rating. Extensive experiments show the
robustness and applicability of the proposed system. Platform: |
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Author:surajs |
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Description: David Vernon is the Coordinator of the European Network for the Advancement of Artificial Cognitive Systems and he is a Visiting Professor of Cognitive Systems at the University of Genoa. He is also a member of the management team of the RobotCub integrated working on the development of open-source cognitive humanoid robot.
Over the past 27 years, he has held positions at Westinghouse Electric, Trinity College Dublin, the European Commission, the National University of Ireland Maynooth, Science Foundation Ireland, and Etisalat University College.
He has authored two and edited three books on computer vision and has published over eighty papers in the fields of Computer Vision, Robotics, and Cognitive Systems. His research interests include Fourier-based computer vision and enactive approaches to cognition.
He is currently a Professor at Etisalat University College in Sharjah-United Arab Emirates, focusing on Masters programs by research in Computing fields.".[1]
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Author:surajs |
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Description: 火灾视觉特征的提取是视觉火灾探测中的关键问题. 我们主要研究色彩、纹理以及轮廓脉动
等特征的提取,并提出一种度量轮廓脉动信息的距离模型,该模型在规格化的傅立叶描述子空间能
够准确地度量这种时空闪烁特征. 实验结果表明,该方法具有比较好的鲁棒性,有助于提高视觉火
灾探测的准确率、降低误报漏报率.-Based on investigating color , text ure and temporal feat ures for vision based fire detection , a
distance model of contour fluct uation between two successive f rames in t he normalized Fourier descriptor s
domain was presented to measure t his time varying contour fluct uation feat ure of flame. The model of
contour fluct uation is effective and robust for fire recognition. To f urt her reduce fal se alarms , several
features ext racted according to color , text ure and the distance model were toget her regarded as a joint
feature vector for artificial neural network to detect fire. Experiment s show t hat the algorithm is effective
and robust , and t hat it is significant for improving accuracy and reducing fal se alarms. Platform: |
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Author:陈卿 |
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Description: 车牌自动识别系统(ANPR)源代码,这个项目涉及了人工智能、机器视觉和神经网络等领域，实现一个车牌自动识别系统(ANPR)。它包括了一系列的数学算法原理，以保证数字车牌的检测与提取、字母分割、归一化和识别。 -Automatic License Plate Recognition System (ANPR) source code, this project involves the artificial intelligence, machine vision and neural networks in areas such as license plate recognition system to achieve a (ANPR). It includes a series of principles of mathematical algorithms, to ensure that digital license plate detection and extraction, the letter segmentation, normalization and recognition. Platform: |
Size: 2952192 |
Author:yangyang |
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Description: 计算机视觉是一门研究如何使机器“看”的科学，更进一步的说，就是是指用摄影机和电脑代替人眼对目标进行识别、跟踪和测量等机器视觉，并进一步做图形处理，用电脑处理成为更适合人眼观察或传送给仪器检测的图像。作为一个科学学科，计算机视觉研究相关的理论和技术，试图建立能够从图像或者多维数据中获取‘信息’的人工智能系统。这里所 指的信息指Shannon定义的，可以用来帮助做一个“决定”的信息。因为感知可以看作是从感官信号中提 取信息，所以计算机视觉也可以看作是研究如何使人工系统从图像或多维数据中“感知”的科学。
-Computer vision is a study of how to make the machine "see" the science, further said, that refers to the camera and computer instead of the human eye on the target identification, tracking and measurement machine vision, and further to do graphics processing, computer become more suitable for dealing with the human eye observation or detection of the image transmitted to the instrument. As a scientific discipline, computer vision research-related theory and technology, or trying to establish a multi-dimensional data from the image to get information artificial intelligence system. The information referred to here refers to Shannon defined, can be used to help make a "decision" of information. Because perception can be seen as extracting information from the sensory signal, so the computer can also be seen as a vision on how to make artificial systems or multi-dimensional image data from the "perception" of science. Platform: |
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Author:sunbo |
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Description: 这个软件包是一个graph isomorphism算法库，主要包含VF2算法。-VFLib: graph matching library
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The ARG Database is a huge collection of labeled and unlabeled graphs realized by the Intelligent Systems and Artificial Vision Lab. (SIVALab) of the University of Naples ``Federico II . The aim of this collection is to provide the graph research community with a standard test ground for the benchmarking of graph matching algorithms.
The database is organized in two section: labeled and unlabeled graphs. Both labeled and unlabeled graphs have been randomly generated according to six different generation models, each involving different possible parameter settings. As a result, 168 diverse kinds of graphs are contained in the database. Each type of unlabeled graph is represented by thousands of pairs of graphs for which an isomorphism or a graph-subgraph isomorphism relation holds, for a total of 143,600 graphs. Furthermore, each type of labeled graph is represented by th Platform: |
Size: 206848 |
Author:fangjun |
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Search - artificial vision