Description: 关于采用嵌入式隐马尔可夫模型和神经网络的人脸识别博士论文，希望对做人脸识别论文和算法设计的人员有帮助。-on the use of embedded hidden Markov models and neural networks face recognition doctoral dissertation, want to do face recognition algorithm design papers and the staff helpful. Platform: |
Size: 6749426 |
Author:Lqh |
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Description: 关于采用嵌入式隐马尔可夫模型和神经网络的人脸识别博士论文，希望对做人脸识别论文和算法设计的人员有帮助。-on the use of embedded hidden Markov models and neural networks face recognition doctoral dissertation, want to do face recognition algorithm design papers and the staff helpful. Platform: |
Size: 6749184 |
Author:Lqh |
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Description: 《精通VisualC++数字图像处理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一些基本理论，以及一些相关的模型，包括贝叶斯决策、线性判别函数、神经网络理论、隐马尔可夫模型、聚类技术等，同时结合模式识别中的一些问题，比如字符识别、笔迹鉴定、人脸检测、车牌识别、印章识别以及遥感图片、医学图片处理等内容，从多种角度，介绍了解决这些问题的思路-" Proficient in VisualC++ digital image processing, pattern recognition technology and engineering practice," describes the pattern recognition and artificial intelligence in some of the basic theory, and a number of related models, including Bayesian decision-making, linear discriminant function, neural network theory, hidden Markov Cardiff model, clustering technologies, combined with pattern recognition in a number of issues, such as character recognition, handwriting identification, face detection, license plate recognition, seals, and remote-sensing image recognition, medical image processing and other content, from several angles, introduced ideas to solve these problems Platform: |
Size: 11152384 |
Author:吴晶 |
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Description: This thesis relates to the design, implementation and evaluation of statis¬ tical face recognition techniques. In particular, the use of Hidden Markov Models in various forms is investigated as a recognition tool and critically evaluated. Current face recognition techniques are very dependent on issues like background noise, lighting and position of key features (ie. the eyes, lips etc.). Using an approach which specifically uses an embedded Hidden Markov Model along with spectral domain feature extraction techniques, shows that these dependencies may be lessened while high recognition rates are maintained. Platform: |
Size: 1726464 |
Author:ivan |
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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: 基于HMM和SVM分类器的人脸识别系统，非常强大-Face recognition using Hidden Markov Models (HMM) and SVM features for education and study.
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Size: 4192256 |
Author:LiMingTian |
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Description: Abstract-Gesture recognition pertains to recognizing meaning-
ful expressions of motion by a human, involving the hands, arms,
face, head, and/or body. It is of utmost importance in designing
an intelligent and efficient human-computer interface. The ap-
plications of gesture recognition are manifold, ranging from sign
language through medical rehabilitation to virtual reality. In this
paper, we provide a survey on gesture recognition with particu-
lar emphasis on hand gestures and facial expressions. Applications
involving hidden Markov models, particle filtering and condensa-
tion, finite-state machines, optical flow, skin color, and connection-
ist models are discussed in detail. Existing challenges and future
research possibilities are also highlighted.- Abstract-Gesture recognition pertains to recognizing meaning-
ful expressions of motion by a human, involving the hands, arms,
face, head, and/or body. It is of utmost importance in designing
an intelligent and efficient human-computer interface. The ap-
plications of gesture recognition are manifold, ranging from sign
language through medical rehabilitation to virtual reality. In this
paper, we provide a survey on gesture recognition with particu-
lar emphasis on hand gestures and facial expressions. Applications
involving hidden Markov models, particle filtering and condensa-
tion, finite-state machines, optical flow, skin color, and connection-
ist models are discussed in detail. Existing challenges and future
research possibilities are also highlighted. Platform: |
Size: 183296 |
Author:余思泉 |
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Description: an efficient system for face recognition based on hidden markov models and SVD as features extractor Platform: |
Size: 3486720 |
Author:ssss |
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Search - Face Recognition Hidden Markov Models