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.
Real-time face recognition by computer systems is required in many commercial and security applications since it is the only way to protect privacy and security. On the other hand, face recognition generates huge amounts of data in real-time. Filtering out meaningful data from this raw data with high accuracy is a complex task. Most of the existing techniques primarily focus on the accuracy aspect...
Image segmentation is one of the mostly used procedures in the medical image processing applications. Due to the high resolution characteristic of the medical images and a large amount of computational load in mathematical methods, medical image segmentation process has an excessive computation complexity. Recently, Field Programmable Gate Array (FPGA) implementation capable of performing many complex...
Computer Vision techniques represent a class of algorithms that are highly computation and data intensive in nature. Generally, performance of these algorithms in terms of execution speed on desktop computers is far from real-time. Since real-time performance is desirable in many applications, special-purpose hardware is required in most cases to achieve this goal. Scale- and rotation-invariant local...
In this paper, we describe an FPGA based implementation of pyramidal KLT (Kanade_Lucas_Tomasi) feature tracker that can be applied to vision based driving assistance systems where real-time operation is commonly required. The implementation consists of three functional modules: feature extraction, feature tracking, and reselection of lost features. The description mainly focuses on alleviation of...
Thinning is a widely used image processing method which can extract feature parameters from an image. Because of the time complexity caused by repetitive operations of thinning algorithm, many approaches have been done to obtain real-time performance. However, previous thinning algorithms have several limitations for thinning large volumes of data in the processing time aspect. This paper presents...
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.