Posts Tagged ‘Local Feature’:

Research on Video Processing Technology of Airborne Optical Measurement System

Airborne optical measurement system is a new application form of optical measurement, which is flexible, real-time, high-efficient, and possesses wide measuring range. Aiming to develop video processing software for airborne optical measurement system, feature based object detection and tracking methods have been studied in this paper, and video processing software for airborne optical measurement has

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Research on Character Recognition Technology in License Plate Recognition System

The license plate character recognition technology is one of the key technologies in the Intelligent Transportation Systems, which involves many fields such as pattern recognition, artificial intelligence, computer vision and digital image processing. Many scholars at home and abroad specialize in the license plate location and license plate character recognition technology, and achieved some results,

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3D Face Recognition Based on Global Feature and Local Feature

Face recognition is regarded as an important research area in biometric identification, have attracted much research institute’s attention. Because the3D point clouds describe the accurate geometric feature of the object and are invariant to the person’s posture and illumination, the research of3D face recognition has become more and more popular. The feature of the face

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Image Retrieval Based on Dual-space Pyramid

With the rapid development of information, The quantity of image is fast growing at an alarming rate. How to retrieve the wanted image in the large amounts of image is an important technology. The technology of image retrieve has changed from the initial text-based to content-based in recent years. The content-based image retrieve is effected

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Research on Face Recognition Methods Based on Principal Component Analysis

Face recognition is a technology that analyzes the image and extracts effective recognition information to distinguish identity by computer. It has high value of research and good future of application. This thesis mainly focuses on the method for face recognition by principal component analysis (PCA). The main contributions are:(1) A robust eyes detection method called

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Face Recognition of the Global and Local Feature Fusion Based on PCA

Face recognition technology is a most challenging and hot subject in the field of pattern recognition and vision of the machine .Up to now, there have many methods recognition of face been proposed, experienced and even put into practical application. However, it can be found out that the methods of recognition each have advantages and

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Study on Scale Invariant Feature Transform Based Image Retrieval

Content-Based Image Retrieval(CBIR,Content Based Image Retrieval) is the area of multimedia information retrieval,a new technology Operation.It is because of the traditional text retrieval in(TBIR,Text Based Image Retrieval) existence some defects:(1) Characterization of the image detail is not sufficient;(2) Subjective and non-Uncertainty;(3) Marked the completion of the process.Because of these defects,CBIR techniques have come into being.Compared

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Manifold-based Feature Extraction and Face Recognition Analysis

Face recognition is an important research field of pattern recognition and has a very wide range application in computer vision, customer identification, multimedia data retrieval and other fields. Feature extraction is the basic problem of face recognition. Studies in recent years have shown that the data of human face is drawn from a non-linear structure

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Manifold-based Feature Extraction and Face Recognition Analysis

Face recognition is an important research field of pattern recognition and has a very wide range application in computer vision, customer identification, multimedia data retrieval and other fields. Feature extraction is the basic problem of face recognition. Studies in recent years have shown that the data of human face is drawn from a non-linear structure

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Target Recognition Method Based on Structure of Local Feature

The problem of target recognition lies at the heart of computer vision research. The key technique lies in image recognition is feature. More and more researchers focus their researches on local feature due to its good stability and discriminability. This paper researches target recognition method based on structure of local feature, which introduces the structure

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