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The depth image obtained by Kinect usually exists cavities at the edge of the object and occlusions. For this problem, many scholars have put forward many solutions. The existing cavity filling algorithms can repair the holes effectively, but these algorithms have a long execution time and are difficult to apply in practical applications. In order to solve the problems above, a hole filling algorithm...
We present a system for detecting and recognizing road markings from video input obtained from an in-car camera. Our system learns feature-based templates of road markings from training data and matches these templates to detected features in the test images during runtime. We use MSER features and perform the template matching in an efficient manner so that our system can detect multiple road markings...
Single image dehazing has been a particularly important and active area of research in computer vision. One of the key problems of physics-based methods is the fast estimation of the transmission. Previous single image based methods, however, require some time-consuming optimization algorithms, making them impracticable for real-time applications. In this paper, we propose a novel edge-aware filter...
In recent years, several kinds of tree structures for dynamic programming have been proposed. All the former trees only include pixels of the image. While in this paper, a new type of tree, which includes all the edges in the image, is constructed. In addition, weighted dynamic programming is proposed in order to improve the conventional dynamic programming. The weighted dynamic programming here is...
In vision navigation tasks, lane marks on roads are very important vision cues. Usually, these lane marks can be detected using Hough transform or vanishing point detection. However such methods always need great computing power, and they are difficult to be realized on board processors in real-time. In this paper, a vanishing point like reference point is set as a support vector. The points on the...
Images captured in foggy scenes suffer from degraded contrast and colors. It's imperative to overcome the weather effects and make outdoor vision systems more reliable. This paper describes a fast algorithm to enhance the visibility of foggy scenes with solely a single image. Firstly, the thickness of the fog is estimated with a Gaussian filter and an intensity image, which is composed of the foggy...
In this paper, a new framework is proposed for autonomous universal surveillance based on video and audio data. ??Universal?? indicates no specification of targets of interest. Instead, regions of importance (ROIs) in a scene should be detected. Specifically, in the video domain, a frame-based main subject detection is proposed based on adaptive selection of low-level features. In the audio domain,...
Through binocular vision the fast disparity image is often desired for many applications, but, stereo vision still is an on studying subject. It is hard to get the precisely result because of the complex of the vision task. Vertical edges of depth images are presented much information of the stereo scene for further image processing. We present an image processing technique that can fast estimate...
Trough binocular vision the fast disparity image is often desired for many applications, but, most algorithms could not easily be application because of complexity. We present an image-processing technique that can fast estimate depth image from binocular vision images. By finding out the lines which present the best matched area in the disparity space image, the depth can be estimated. When detecting...
A variational model which is used to locate at the boundary of the object in the designated region is presented in this paper. This is done by adding an intersect area term into our model, which will play an important role in this paper. In this model, we need to construct an energy functional ε using two level set functions. One is used to capture the object of interest, the other one indicates image...
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