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This paper proposes a new background subtraction method by a moving camera for the object detection. Key points are firstly extracted and tracked. From the tracking results, spatial transformation relationships for the background scenes in consecutive frames are obtained while the current frame is warped to the previous image plane for the camera movement compensation. A codebook background model...
Numerous image matching methods for wide range of applications have been invented in the last decade. When high precision and reliability of the object space point coordinates is highly demanding, a stereo image matching method which can produce conjugate point of images and a standard deviation of the matched point is examined. In this approach, image gradients are used locally to seek a conjugate...
In the process of aircraft residual ice detection based on near infrared spectrum method, the qualities of the images, such as brightness and contrast, are easily influenced by sunlight, weather and other factors. Therefore, it is hard to precisely match the feature points. In this paper, an improved Harris local invariant feature matching method is proposed. The improved Harris feature point detection...
Traditional, the hardcopy of cadastral map is an important historical evidence for the land parcels information in the Land Office. However, the paper is not easy to save and the size of the scanner is not large enough for digital storage either. In this study, multi-view image processing technology is applied to create a true ortho-photo of cadastral map for solving the storage problem.
Image processing is an inevitable tool for visual tracking. Visual object tracking is a very hot area of research in the computer vision. Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and in general, deal with the extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the...
The purpose of this paper is to introduce a novel airborne scene matching based unmanned aerial vehicle (UAV) navigation technology in case of global navigation satellite systems (GNSS) fail to work. Our primary motivation focuses on reducing the dynamic UAV positioning errors in traditional scene matching algorithms, which are caused by real-time image distortions when UAV maneuvering flight. Firstly,...
Obstacle removal is a classic problem in image processing. Because the content behind obstacle can't be deduced only from one image, we introduce a motion obstacle removal problem from an image sequence. It is regarded as a sparse problem with the obstacles as noise. First we match the images with image features to transform the images to the same camera coordinate system. The features of motion objects...
The algorithms for dense correspondences in stereo images are an extensively researched topic, since it is an essential step in a large number of applications. Despite the fact that the first stereo matching algorithms were proposed some decades ago, novel approaches regarding typical, but also cutting-edge applications, are always in demand. Stereo matching is an inverse, ill-posed problem, which...
We show the first camera based (privacy-preserving) indoor mobile positioning system, CaPSuLe, which does not involve any communication (or data transfer) with any other device or the cloud. The algorithm only needs 78.9MB of memory and can localize a mobile device with 92.11% accuracy. Furthermore this is done in 1.92 seconds of on-device computation consuming 3.77 Joules of energy, as evaluated...
We introduce a method to perform automatic thresholding of SIFT descriptors that improves matching performance by at least 15.9% on the Oxford image matching benchmark. The method uses a contrario methodology to determine a unique bin magnitude threshold. This is done by building a generative uniform background model for descriptors and determining when bin magnitudes have reached a sufficient level...
One of the most challenging problems a visually impaired person experiences is outdoor navigation. We present an Android application to be used by the visually impaired for GPS and compass based navigation, and a camera based visual navigation for accurate guidance which uses visual matching on previously saved visual landmarks. The system has an ergonomic and intuitive touch based user interface...
With the development of avionics technology, the runway detection technique becomes increasingly important both in military and civil applications. But the existing runway detection methods are mostly intended for satellite images or downward-looking aerial photos and the algorithm complexity is relatively high, which makes it hard to apply them to airborne real-time applications. In this paper, a...
Vehicle ego-localization is a critical task not only for in-car navigation systems, but also for emerging intelligent and autonomous vehicle technologies. Visual localization methods that determine current location by performing image matching against a pre-constructed database have an accuracy limited by the spatial distance between database images. In this paper we propose a method that uses the...
In this work, we propose a method for estimating the user's gazing point in the environment using images taken by an eye tracker and an omnidirectional camera. The proposed method estimates the eye positon in environment by mapping the gazing point obtained by the eye tracker in the omnidirectional camera image. However, matching the omnidirectional image and the eye tracker image is difficult because...
Oblique airborne cameras are increasingly used for area covering image collection of building facades in urban environments. Until recently, these images were mainly used to improve the visual appearance of relatively simple 3D building models by providing suitable facade texture. Meanwhile, oblique airborne images are also used to generate dense 3D point clouds using state-of-the-art pixel-based...
To assist drivers and prevent collisions, we propose a system called OmniView that extends driver's vision in all directions, using cameras of multiple collaborating smartphones in the surrounding vehicles. OmniView provides a driver with a traffic map about the relative positions of surrounding vehicles. Under OmniView, each vehicle detects other vehicles in its view, estimates their relative positions,...
This paper describes a method to recognize a Quick Response Code (QR) a novel. The QR Code is a two-dimensional code, which is currently used in various fields. According to the salient growth smartphone market, the recognition distance of QR Code is increased but the recognition angle is still limited. To tackle the issue, we propose a QR Code recognition method using ‘cloud-based pre-generated image...
This work describes the whole process of 3D model reconstruction. It begins with the representation of the method that is used to find the matching between photographs and the methodology to use the data to form the initial structure of the reconstructed model, represented by a point cloud. As a next stage, a refinement process is performed, using the bundle adjustment method. A set of stereovision...
Aiming at the passive ranging to the non-cooperate target, the passive ranging algorithm based on the image sequence is proposed. The analysis on the image matching algorithms were performed, including SIFT, SURF, and ASURF. In which, the SURF algorithm is better method in our system becouse of the real time and precision. It can find plenty of special regions from the target images grabbed at real...
A robust computer vision system for an unmanned surface vehicle (USV) is being developed, in support of tracking a moving marine vehicle from the USV. A methodology to minimize the tracking errors regarding the raw 2-D measurements of the position of a target boat using a commercial stereo camera will be presented. This errors are mainly due to image quantization limitations and pixel miscorrespondences...
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