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 comparison with the popular feature algorithms in vision applications, AFFINE-SIFT (ASIFT) achieves the highest robustness in terms of illumination, rotation, and scale in affine space but exhibits high computation complexity. This work proposes three optimization techniques, including reverse based pipelined affine computing, full parallel Gaussian pyramid computing and rotation invariant binary...
In this paper we propose an algorithm for real-time 2D-to-3D conversion. Saliency based on color histogram is used to build depth map. To eliminate instability problem of color saliency, we presented a low-complexity and low-latency scene detection method taking advantage of color histogram produced before. The experiment results show that our algorithm is able to eliminate depth flickering effectively...
Fast and robust traffic sign recognition is very important but difficult for the safety driving assist systems. This study addresses the fast and robust traffic sign recognition to enhance safety driving. We first adopt the typical Hough transform methods to implement coarse-grained locating of the candidate regions (shapes of rectangle, triangle and circle, etc.) of the traffic signs; and then propose...
Robust feature plays an important role in many vision based applications. This paper proposes a fast extreme illumination robust feature in affine space. It inherits the techniques of extreme point location and main orientation computation from SIFT (Scale Invariant Feature Transform) algorithm, and adopts the rotation and scale invariant circular binary pattern based histograms in the affine space...
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.