Description: 人脸侦测，人脸识别，人脸辨别，人脸辨识，实时影像-face detection, face recognition, face identification, face recognition, real-time video Platform: |
Size: 102400 |
Author:赖岱佑 |
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Description: 人脸侦测，人脸识别，人脸辨别，人脸辨识，实时影像-face detection, face recognition, face identification, face recognition, real-time video Platform: |
Size: 346112 |
Author:赖岱佑 |
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Description: 这是《精通Visual C++数字图像处理技术与工程案例》光盘源代码,共包含9个完整用例（含源代码、完整设计流程图、原理介绍）：人脸检测、牌照自动识别监控、运动人体跟踪、细胞识别统计、文字识别、相机自动调焦、计算机集成数控、运动检测、车牌定位。书中含图像和视频资源，不需自行搜集。此外还有对于数字图像处理基础知识、工程使用中涉及的基本技术的介绍。-This is《proficient in Visual C++ digital image processing technology and engineering case》source code, contains a total of nine complete use case (including source code, complete the design flow chart, the principle of introduction): Human Face Detection, License Plate Recognition monitoring exercise to track the human body , cell recognition statistics, language identification, auto-focus camera, computer integrated CNC, motion detection, license plate location. Book containing images and video resources, do not need to collect on their own. In addition have the basic knowledge of digital image processing, engineering involving the use of basic technology introduction. Platform: |
Size: 14778368 |
Author:吴 |
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Description: 人脸识别系统
人脸检测不仅是全自动人脸识别系统的基本步骤，而且本身也可以独立的应用于视频监控、图像检索等领域，因而具有重要的研究价值。尽管Viola等人于2001年提出的基于AdaBoost的人脸检测算法以其卓越的性能而得到了大家的青睐，并已基本解决了大多数情况下的人脸检测问题，但在实际应用中，尤其是智能监控应用中，仍然存在较多挑战性问题。-Automatic face detection face recognition system is not only the basic steps, and itself can be applied independently of the video surveillance, image retrieval and other fields, which have important research value. Although Viola, who in 2001 proposed the AdaBoost-based face detection algorithm for its outstanding performance and get everyone s favor, and has basically solved the majority of cases, the face detection problem, but in practical applications, in particular, Is an intelligent surveillance applications, there are still many challenging issues. Platform: |
Size: 157696 |
Author:吴嘉晔 |
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Description: visual C++数字图像模式识别技术及工程实践。介绍了模式识别和人工智能中的基本内容和相关模型，如：隐马尔可夫模型、聚类技术等，同时结合模式识别中的经典问题如：笔迹鉴定、人脸检测、车牌识别、医学图片处理等，从不同的角度介绍了这些问题，给出了基于C/VC++的代码实现。-visual C++ digital image pattern recognition technology and engineering practice.The basic content and related models in pattern recognition and artificial intelligence, such as: Hidden Markov Models, clustering technology, combined with the classic problems such as: pattern recognition of handwriting, face detection, license plate recognition, medicalimage processing, for these issues from different perspectives, based on the C/C++ code Platform: |
Size: 10780672 |
Author:long |
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Description: VC++写成的人脸识别程序，用OpenCV2.2库，采用Gabor+Fisherface算法，附有演示程序，识别概率高，包含源代码和使用说明-This program, written in VC++, built with MS Visual Studio 2008 SP, using OpenCV 2.2, provides some basic face recognition APIs. It applies a few FR algorithms according to the knowledge of the author. Platform: |
Size: 13337600 |
Author:刘星宇 |
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Description: 《数字图像处理与机器视觉——Visual C++与Matlab实现》书中的光盘内容之一。包括基本的图像处理算法，以及投影校正、特征提取、图像分割、人脸识别等等综合案例。-" Digital Image Processing and Machine Vision- Visual C++ and Matlab to achieve" one of the book' s CD-ROM content. Including the basic image processing algorithms, as well as projection correction, feature extraction, image segmentation, face recognition, and so integrated case. Platform: |
Size: 7218176 |
Author:nuaa030840105 |
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Description: 人脸作为图像与视频中最重要的视觉对象之一，是智能人机接口等许多应用的处理目标对象。近年来，人脸检测技术在模式识别、计算机视觉、人机交互等诸多领域引起了普遍重视。之所以人脸检测技术在当今计算机视觉等领域的研究中占有重要的地位并成为研究焦点，主要在于以下两个方面：一方面将人脸作为基本是绝对想来考虑，子等检测与定位人脸是实现人脸识别、人脸跟踪、表情识别、人联合成与人脸编码、唇读等技术的必要前提(Face is one of the most important visual objects in image and video, and it is the target of many applications such as intelligent human computer interface. In recent years, face detection technology has attracted widespread attention in many fields, such as pattern recognition, computer vision, human-computer interaction and so on. The research of face detection technology in the field of computer vision and other plays an important role and become the focus of research, mainly in the following two aspects: on the one hand will face as basic is absolutely want to consider, such as face detection and location is a prerequisite for face recognition, face tracking, face recognition, and joint face encoding, lip reading technology; on the other hand) Platform: |
Size: 651264 |
Author:alicemlp
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