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.
The evaluation of the scale of an object in a cluttered background is a serious problem in computer vision. The most existing contour-based approaches relevant to object detection address this problem by normalizing descriptor or multi-scale searching, such as sliding-window searching, spatial pyramid model etc. Besides, Hough-voting framework can predict the scale of an object according to some meaning...
Detecting object in unseen images is an challenging task because of the strong clutter background, various scale of object and the deformation of class. In this paper, we present a shape-based object detection model using scale-invariant fragment feature which is approximated by conjunctive short straight segments. This is a novel shape descriptor for object detection by bypassing estimation of scale...
Automatic target recognition (ATR) is an important task in image application. This paper concentrates on two key subroutines of ATR system: Pre-treatment and design of classifier. In the pre-treatment subroutine, a new method based on Rough Set (RS) is proposed to partition the original sample set into some subsets and calculate their class membership, so that some samples can be chosen by class membership...
Many interesting point detectors have been proposed in the literature. It is unclear which detectors are more appropriate and how their performance depends on the task. We propose to use different detectors to gain different cues of images. Then an ensemble of classifications can be obtained, each based on one cue. The use of classification ensemble to categorize new images can lead to improved performance...
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.