Titlebook: Computer Vision and Graphics; Second International Leonard Bolc,Ryszard Tadeusiewicz,Konrad Wojciecho Conference proceedings 2010 Springer-

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Application of the FraDIA Vision Framework for Robotic Purposesems development and testing, is required. This paper presents ., a vision framework, that can work as a stand–alone application, as well as a vision subsystem of the . based robotic controllers. The framework description emphasizes its architecture and methods of vision tasks implementation. The div

hermitage

Video Analysis Based on Mutual Information a novel objective method for measuring the quality of video. In the field of abrupt cut detection we improve the existing method based on mutual information. The novelty of our method is in combining the motion prediction and the mutual information. Our approach provides higher robustness to object

mendacity

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Visual-Acuity

Accurate Overlap Area Detection Using a Histogram and Multiple Closest Pointsge images being registered. Tentative correspondences sharing similar distances are normally all within, or all outside, the overlap area. Thus, the overlap area can be detected in a bin by bin batch manner using a histogram. Using multiple closest points is likely to enlarge the distance difference

Plaque

Automatic Extraction of the Lower Boundary of the Mandibular Bone in Dental Panoramic Radiographse first step in examination of the morphology of the mandibular bone or in the computation of the cortical width. The described algorithm is robust against presence of the undesired structures that in an image. The technique was tested on 34 images. The results obtained are equivalent with the diffe

爆米花

Football Player Detection in Video Broadcastr Machine (SVM) classification for football video. Recently, HOG methods were widely used for pedestrian detection. However, presented experimental results show that combination of HOG and SVM is very promising for locating and segmenting players. In proposed system a dominant color based segmentati

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Spectrum Evaluation on Multispectral Images by Machine Learning Techniquescolor spectrum for the improvement of the tumor region detection accuracy. As the reference point spectra of 24 model colors were aquisited and then compared with their original spectra. Difference betweeen the original and aquisited spectra motivated the authors to use data mining nonparametrical t