Posts Tagged ‘SIFT feature’:

Scene Classification Based on SIFT and SVM

Scene classification is a foundational process in computer vision, and it plays an important role in pattern recognition, machine learning, image content understanding, image retrieve. Classical SIFT feature is an invariant feature to rotation, translation in the field of feature extraction. SIFT Feature is provided with good remarkable and robust. SVM is one of newly

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Image Rendering Research of Image Guidance Simulator

Image guidance simulator is a typical equip which is used to test the guidance system of image guidance weapon and to train the people who control the weapon. And how to render the image of target region realistically is one of the key of image guidance simulator. In numerous image rendering methods, the main two

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Geometry and Texture Auto Reconstruction Based on Multiple Images

This paper is committed to study how to obtain a realistic three-dimensional model by automatically computing when input a few pieces of hand-held camera images, the obtained model can be applied to computer vision, virtual reality and other areas. The main content of this paper as follows:(1) In order to obtain dense point clouds model

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Research on Algorithmof Target Detection and Tracking in Traffic Surveillance Video

Intelligent video analysis is a kind of comprehensive technology that gains mutidisplinary research achievement which include fields like Image Processing, Pattern Recognition, Computer Vision and so on. Recently, intelligent monitoring technology has a wide range of applications in transportation, military guidance, medical diagnose and also in public places, residential area, schools. The thesis mainly studies

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The Technology Research of Image Mosaic Based on Improved SIFT Algorithm

Image mosaicing technology as an important branch of digital image processingcan well solve the contradictions and problems of vision and resolution, it was widelyused in the panoramic image synthesis,3-D scene reconstruction, medical imageanalysis, computer vision field and video retrieval, compression and other fields.Therefore, Researching on image stitching technology had a very important practicalsignificance.This paper studied

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Research of Image Retrieval Technology Based on Scene Semantics

With the development of information technology, many storage devices and digital equipments are produced and extensively used, there are more and more chances for us to get the enriched image information. With the rising number of image, using the traditional manual method to retrieve the desired image from the large-capacity image database become impractical, and

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Study on Image Similarity Measure and Its Application Based on SIFT Feature

Based on image similarity measure, the degree of similarity between two images is able to be assessed by comparing the features of image, such as color, texture, structure, semantics, et al. It is widely used in fields of pattern recognition, image retrieval and classification, image quality assessment and so on. In this thesis, using Scale

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The Segmentation of Deformable Object Image Base on Active Shape Model and Image Invariant Features

Since the deformable objects exist broadly in reality life the processing of deformable object image is involved in many image processing and computer vision tasks, such as face recognition, medical image processing, in which the segmentation of deformable object image is a basic and key step. However, the traditional segmentation methods can not obtain the

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Moving Object Detection in Moving Camera and Trajectory Analysis

Moving object detection is a focus of the intelligent video surveillance system these days, and is a precursor to higher-level objectives such as object recognition, tracking and behavior analysis. For video surveillance tasks, the imager is often stationary and therefore automatic detection of moving objects is relatively easy since the model of the background is

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Study on Face Recognition Using Scale Invariant Feature Transform and Support Vector Machine

The biological characteristics are the inherent attributes of human beings, which have strong self-stability and individual in dependency. Therefore it has been a common research problem to apply the individual biological characteristics to machine intelligence and make the computer more intelligent like human beings. Recently, several different biological characteristics have been applied in intelligent systems

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