The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In color scanned topographical maps, residential areas portray the size and shape information about residential areas, which are polygonal features filled with hatched lines. This paper proposed using Gabor filters to detect hatched lines by their texture features and find the candidate residential areas firstly. And then the traditional curve tracking, linear interpolation and geometrical emendation...
An approach is proposed for abnormal sections detection in video sequences. In this approach, firstly the histogram is selected to describe the color change in the section, and then the histograms of the frames selected from the section compose the histogram matrix. In order to improve the process efficiency, the principal components analysis (PCA) is used to reduce dimensions of the histogram matrix...
Moving shadow elimination is an important step in many applications of video. And pixels belonging shadow region are often misclassified as object during segmentation and tracking. There are many algorithms that deal with shadow in different color spaces in literatures. However, it is difficult to determine the optimal color space in which to remove shadow. In this paper, we study the features of...
In this paper, we propose a symmetric pixel-group stereo model for handling occlusion in a segment-based style. Firstly, both images are segmented based on color, disparity, and the segments of the other image sequencely. Then the uniqueness constraint is embodied in pixel-group level. Finally, a symmetric belief propagation (BP) optimization framework is used to find correspondence and occlusions...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.