Posts Tagged ‘Local Binary Pattern’:

Research on Novelty Detection for High-Speed Railway

Railway is the main transportation in our country. To improve the capacity of railway transport, high-speed railway has been greatly developed in recent years. As a result of the imperfection of the railway infrastructure, there are many railway accidents at present. How to improve the situation has been a public concern.In this thesis, we will

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Content-based Image Retrieval and Recognition for Ground-based Cloud Image

The regulation of cloud is an important climate change factors in the energy balance of earth’s atmosphere. On the one hand, the formation, development and evolution of cloud reflect the degree of the stability, movement and moisture conditions of the atmosphere. On the other hand, cloud is one of the important signs for indicating weather

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Feature Dimensional Reduction for Fast Face Recognition

Among various identification based biology character technology, face recognition technology has been extensively applied to abroad range of field due to its unique superiority compared with others. As the key issues in face recognition, feature extraction and expression have received considerable academic attention in several years. On one hand, different kinds of face feature expression

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Research on Face Recognition Based on Optimized B-LBP

In the broad sense, an automatic face recognition system is consist of four important parts:face detection, facial feature points location, facial feature normalization, face recognition. Face detection finds if there are any faces in the image or video sequences, and acquires the location and extent of each face. Facial feature points should be located and

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Recognizing Smile Emotion Based on Fractional Fourier Transform and Local Binary Pattern

In recent years, with the great application of face expression recognition in the human-computer interaction, computer games and video conference, et al, expression recognition has gradually become the research focus. Besides, with the scientific rapid progress, especially the commercial use of smile detection cameras, smiling face as an important expression in the facial expression has

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Face Recognition Method Based on Estimation of Edge Geometry

Effective expression of the image content is the basis for image recognition, so therepresentation and extraction of human face image feature is a basic problem for facerecognition. Edge is one of the basic features of the image, it is a part of an image featureis not continuous (or mutations) results, and it’s also an important

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The Study of Facial Feature Location Based on Active Shape Model

The facial feature localization is that computers locate the position of variouscharacteristics of the face image automatically. The facial features localization playsa very important role in the field of image processing, it provides data for theresearch of face recognition, expression analysis and face-tracking, and it will be agreat help in terms of target tracking and

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Research on Understanding of Facial Expressions Information in Sign Language and Its Implementation

Sign language is the language which is used by the deaf, it is a stable expression system which is composed of gestures, facial expressions and head gestures. Relative to a wide range of body language of common person, sign language have more regularity. Recognition of sign language can help hearing people to have a better

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Research on Facial Expression Recognition in Standard Natural Classroom

With the rapid development of information technology, E-Learning based on video has been playing a more and more important role in education. One can learn anywhere and anytime because E-Learning breaks the spatial and time limitation. At the same time, E-Learning has better learning experience because of its personality, intelligence and interactivities with the application

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Automatic Facial Expression Recognition

Famous psychologist Albert Mehrabian had made a conclusion that the communication is made up of 7% words, 38% tone of voice and 55% facial expression. Facial expression which carries rich information of body behavior is the leading carrier of human emotions. As an essential branch of affective computing, facial expression recognition is the groundwork of

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