Image matching is the implementation process of image registration technology. As the basic problem in image processing, this technology is the key step of many image analysis and processing tasks, and has a very important research significance and practical value. At present, the image matching method can generally be divided into two categories: region-based image
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With the development of the computer and video processing technology, human behavior analysis in security monitoring, advanced human-computer interaction, video conferencing, and video retrieval based on behavior and medical diagnosis has a wide range of applications. And it is currently a hot research topic on machine vision.Focusing on the application of Intelligent Security Monitoring System,
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3D face recognition using the data come from the3D point cloud, which is less sensitive to expressions and pos changes.On the other hand, it means we discarded the texture image information from the face. In this paper here, we present a algorithm fusion2D and3D face information, and have robust to expressions and pos changes. First,
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At present, the industrial robots which are used in production generally utilize teaching or off-line programming mode, and can only replay the pre-taught motions. Hence, they have low perception ability in handing objects and work environments. In recent years, computer vision featuring processing a large amount of information, high accuracy of detection, and wide range
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Video coding technology has experienced about thirty years of development. Traditional wave-based coding has been successfully changed into mode-based coding that has been a dominant tendency to video coding technology. The new video coding standard MPEG-4 was finished in 1998, which is based on content coding and aims at improving compression ratio and flexible access
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The art of image matching is a critical content in computer vision and digital image processing, which is widely used in domains of object recognition and analysis, robots vision navigation, pattern recognition, medical image analysis, and so on. However, geometry deformation and grayscale distortion between remote sensing images caused by differences of imaging conditions are
(Read More…)
The art of image matching is a critical content in computer vision and digital image processing, which is widely used in domains of object recognition and analysis, robots vision navigation, pattern recognition, medical image analysis, and so on. However, geometry deformation and grayscale distortion between remote sensing images caused by differences of imaging conditions are
(Read More…)
Video coding technology has experienced about thirty years of development. Traditional wave-based coding has been successfully changed into mode-based coding that has been a dominant tendency to video coding technology. The new video coding standard MPEG-4 was finished in 1998, which is based on content coding and aims at improving compression ratio and flexible access
(Read More…)
The art of image matching is a critical content in computer vision and digital image processing, which is widely used in domains of object recognition and analysis, robots vision navigation, pattern recognition, medical image analysis, and so on. However, geometry deformation and grayscale distortion between remote sensing images caused by differences of imaging conditions are
(Read More…)
Video coding technology has experienced about thirty years of development. Traditional wave-based coding has been successfully changed into mode-based coding that has been a dominant tendency to video coding technology. The new video coding standard MPEG-4 was finished in 1998, which is based on content coding and aims at improving compression ratio and flexible access
(Read More…)
