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In this paper we propose a framework for providing quality of information (QoI) aware networking. QoI quantifies how useful information is for an application. Its value is comprised of both intrinsic and contextual attributes related to the information. Intrinsic attributes include freshness and accuracy of the information. Contextual metrics include completeness and timeliness. To design network...
In very high resolution (VHR) image classification it is common to use spatial filters to enhance the discrimination among landuses related to similar spectral properties but different spatial characteristics. However, the filters types that can be used are numerous (e.g. textural, morphological, Gabor, wavelets, etc.) and the user must pre-select a family of features, as well as their specific parameters...
By taking advantage of recent progress in patch match based stereo [1], we propose a depth-map merging based Multi-View Stereo (MVS) reconstruction method for large-scale scenes. Combining the strength of the accuracy of patch match stereo and the redundancy information provided by multiple views, our method can produce quite satisfactory MVS reconstruction results. Besides, the proposed method could...
As a significant biometric technique, 3D palm print authentication is better than 2D palm print authentication in several aspects. Previous work on 3D palm print recognition has concentrated on two aspects: (1) extracting the texture and line features using the binary image of 3D palm print, (2) extracting the orientation features using the Gabor filter and competitive code. In this paper we extract,...
This paper addresses the problem of recovering the unknown poses of a moving reference plane for specular shape recovery. Given the initial pose of the reference plane with respect to the camera, a closed form solution is derived to recover its subsequent poses directly from its reflections on the specular surface observed in the image sequence. With the estimated poses of the reference plane, the...
Real-time face detection combined with eye-gaze tracking and face analysis can provide a new means of user input in a gaming environment. Game designers can use facial information in various ways in designing the user interface (UI) and to provide smarter modes of interaction with players.
Building a dense and accurate environment model out of range image data faces problems like sensor noise, extensive memory consumption or computation time. We present an approach which reconstructs 3D environments using a probabilistic occupancy grid in real-time. Operating on depth image pyramids speeds up computation time, whereas a weighted interpolation scheme between neighboring pyramid layers...
Currently two evaluation methods of super-resolution (SR) techniques prevail: The objective Peak Signal to Noise Ratio (PSNR) and a qualitative measure based on manual visual inspection. Both of these methods are sub-optimal: The latter does not scale well to large numbers of images, while the former does not necessarily reflect the perceived visual quality. We address these issues in this paper and...
It is one of the central issues in augmented reality and computer vision to track a planar object moving relatively to a camera in an accurate and robust manner. In previous studies, it was pointed out that there are several factors making the tracking difficult, such as illumination change and motion blur, and effective solutions were proposed for them. In this paper, we point out that degradation...
Face detection has been playing an important role in more and more fields, which makes it necessary and urgent to have its architecture reconfigurable to satisfy different requirements on detection capabilities. The paper proposes a face detection architecture, which could be adjusted by the users according to the environment, the sensor resolution, the different requirements of detection accuracy...
High-resolution remote sensing images can capture detailed geometrical and shape properties. Traditional classification accuracy assessments with overall accuracy or kappa coefficient based on pixels, cannot exhibit the geometrical properties of the objects that are present on the ground. Evaluation of object oriented classified maps based on geometrical and border information can provide more accurate...
It is one of the central issues in augmented reality and computer vision to track a planar object moving relatively to a camera in an accurate and robust manner. In previous studies, it was pointed out that there are several factors making the tracking difficult, such as illumination change and motion blur, and effective solutions were proposed for them. In this paper, we point out that degradation...
Recently, there has been tremendous interest in the area of mobile Augmented Reality (AR) with applications including navigation, social networking, gaming and education. Current generation mobile phones are equipped with camera, GPS and other sensors, e.g., magnetic compass, accelerometer, gyro in addition to having ever increasing computing/graphics capabilities and memory storage. Mobile AR applications...
Sub-pixel accurate registration is the challenging aspect of super-resolution reconstruction. However, the blur contained in the low-resolution images will result in inaccurate registration and an unsatisfactory reconstruction result. Therefore, this paper introduces a blurred image sub-pixel registration method based on Non-Maxima Suppression (NMS). By analyzing the relationship between the image...
A near real-time flood detection algorithm giving a synoptic overview of the extent of flooding in both urban and rural areas, and capable of working during night-time and day-time even if cloud was present, could be a useful tool for operational flood relief management and flood forecasting. The paper describes an automatic algorithm using high resolution Synthetic Aperture Radar (SAR) satellite...
Segmentation and recognition of screen rendered text is a challenging task due to its low resolution (72 or 96 ppi) and use of antialiased rendering. This paper evaluates Hidden Markov Model (HMM) techniques for OCR of low resolution text -- both on screen rendered isolated characters and screen rendered text-lines -- and compares it with the performance of other commercial and open source OCR systems...
With the increasing computational power of mobile devices and the increase in the usage of ordinary location-based services, the area of indoor location-based services is of growing interest. Nowadays indoor location-based services are used mainly for personalized information retrieval of maps and points of interest. Advanced location-based functionality often suffers from imprecise positioning methods...
Text-lines extraction and their reading order determination is an important step in optical character recognition (OCR) systems. Research in OCR of Arabic script documents has primarily focused on character recognition and therefore most of researchers use primitive methods like projection profile analysis for text-line extraction. Although projection methods achieve good accuracy on clean, skew corrected...
Level set methods have been used for image segmentation. Because partial deferential equations are solved to propagate a curve, level-set image segmentation has a slow convergence speed. The objective of this paper is to propose a method that increases the convergence speed. The proposed approach exploits the benefit of multi-resolutional analysis. Wavelet transform is used to decompose the image...
To date, determining depth information for robotic handling in a scanning electron microscope is a challenging problem without a versatile solution. In this paper, focus-based as well as other depth detection methods are analyzed showing limitations in terms of accuracy and speed. To overcome these limitations, existing focus-based approaches are combined with a new line-scan based position tracking...
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