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.
Determining indoor location using image based methods has the promise to be fast and intuitive. Nonetheless, a practical implementation needs to operate without knowledge of true camera pose and focal length, and be discriminating enough to identify location from multiple indoor locations that appear similar.In this paper, we propose an accurate and efficient method based on matching established planes...
Key points-based image matching algorithms have proven very successful in recent years. However, their execution time makes them unsuitable for online applications. Indeed, identifying similar key points requires comparing a large number of high dimensional descriptor vectors. Previous work has shown that matching could be still accurately performed when only considering a few highly significant key...
Aiming at the problems of the global image matching, an area based on image matching algorithm is presented. In the paper, the principle of area based image matching is given firstly and the algorithm is analyzed in detail. In the algorithm, in order to diminish the influence of the segmentation to image matching, color key feature points are chosen as the feature of image and weighted distance measurement...
This paper will discuss how to track the faces of patients who only lie in bed in real-time. We propose a realtime mechanism to extract and track patients' facial features effectively. When camera facing the patient's face, we will use our DRK (Dynamic Radial Kernel) mechanism to record and match facial features. Then we will collect the information of the patient's face. It could be provided to doctors...
Nowadays, the mobile phones are becoming part of our daily life. They transformed from communication devices to personal computers. They are capable of storing personal information and connect to other applications where security is required. The need for securing the confidential information and the other application is increasing every day. Fingerprint authentication has been used in many different...
Identification of invariant image descriptors is an integral task for many computer vision applications such as image registration, object recognition, and object tracking. The detected features should be invariant to geometric transformations such as rotation and translation, as well photometric variations due to differing lighting conditions. In this work, we propose a unique and effective region...
The spatial geometrical features of the objects are widely used in the image matching and retrieval. The popular algorithms of the spatial feature detection are designed for gray images, which failed to make use of the color information in color images. However, the color information is absolutely nontrivial in discrimination of different objects, vacancy of which would lead to miss judgment. Based...
This paper introduces a generic way to incorporate color information into local, SIFT-like descriptors, in view of image matching. First, a new color descriptor, relying on local hue histograms, is introduced. Second, we describe a procedure permitting the automatic setting of matching parameters when matching images using both geometric and color information. Experiments on a color image database...
Matching a query (reference) image to an image extracted from a database containing (possibly) transformed image copies is an important retrieval task. In this paper we present a general method based on matching densities of the corresponding image feature vectors by using the Bregman distances. We consider statistical estimators for some quadratic entropy-type characteristics. In particular, the...
The increasing number of CCTV cameras in use poses a problem of information overloading for end users. Smart technologies are used in video surveillance to automatically analyze and detect events of interest in real-time, through 2D and 3D video processing techniques called video analytics. This paper presents a smart surveillance stereo vision system for real-time intelligent door access monitoring...
SIFT (Scale Invariant Feature Transform) has proved to be the most robust local invariant feature descriptor in object recognition and matching. Being designed mainly for the gray images, SIFT shows its vulnerability when deal with color images. To overcome this problem and increase the descriptor's distinctiveness, we introduce a new descriptor, a combination of the SIFT approach and the improved...
In this paper we propose an image matching approach that selects the method of matching for each region in the image based on the region properties. This method can be used to find images similar to a query image from a database, which is useful for automatic image and video annotation. In this approach, each image is first divided into large homogeneous areas, identified as “texture areas”, and non-texture...
This paper presents a new keypoint-based approach to near-duplicate images detection. It consists of three steps. Firstly, the keypoints of images are extracted and then matched. Secondly, the matched keypoints are voted for estimation of affine transform based on an affine invariant ratio of normalized lengths. Finally, to further confirm the matching, the color histograms of areas formed by matched...
A visual auxiliary method for compensating binocular vision deficiency, which has problems in identifying stereoscopic presentations, is proposed in this paper to reduce the inconvenience in the daily life. To solve this defect problem, a stereo information compensation algorithm, combining the image matching, triangulation algebra, and the image segmentation algorithms, is adopted to append the distance...
We propose a novel hierarchical structured prediction approach for ranking images of faces based on attributes. We view ranking as a bipartite graph matching problem; learning to rank under this setting can be achieved through structured prediction techniques that directly optimize the matching measures. Our key contribution is a novel model that combines structured predictors for different feature...
The objective is to develop a probabilistic approach for vision-based fire detection in videos. The proposed method analyzes the frame-to-frame changes of specific low-level features describing potential fire regions. These features are color, area size, surface coarseness, boundary roughness, and skewness within estimated fire regions. Because of flickering and random characteristics of fire, these...
Broadcast sports video report is expected be the generated player data in real time. Therefore, uniform number recognition need to fast computing. Covariance feature has possibilities to do it in real time. We present a method for uniform number recognition using the covariance feature as a region descriptor. The covariance feature is represented by the covariance matrix of image features such as...
We introduce a novel method for matching and aligning 3D surfaces that do not have any overlapping surface information. When two matching surfaces do not overlap, all that remains in common between them is a thin strip along their borders. Aligning such fragments is challenging but crucial for various applications, such as reassembly of thin-shell ceramics from their broken pieces. Past work approach...
Local image features around interest-points have been widely used in order to exploit the similarities between different views of an object in different images. While there are numerous algorithms on detecting the interest-points and defining the local features, few have focused on the importance of the matching process. In this paper, we presented a method that matches interest-points detected via...
Ocular biometrics has made significant progress over the past decade primarily due to advances in iris recognition. Initial research in the field of iris recognition focused on the acquisition and processing of frontal irides which may require considerable subject cooperation. However, when the iris is off-angle with respect to the acquisition device, the sclera (the white part of the eye) is exposed...
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.