Multiview image registration is widely used in computer vision applications. In this paper, an approach for multiview 3D image registration based on augmented Kalman filter is proposed by taking account of various unc...
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Multiview image registration is widely used in computer vision applications. In this paper, an approach for multiview 3D image registration based on augmented Kalman filter is proposed by taking account of various uncertainties. The position and orientation of viewpoint are considered as system state. System augmentation model and system observation model are constructed. The position and orientation of each viewpoint is augmented and updated recursively. The global transformation parameters of image are computed with the state estimation of corresponding viewpoint. The proposed multiview image registration method can handle the uncertainty efficiently and the registration result is accurate and globally consistent. Some experimental results are provided to validate the performance of the proposed method.
This paper presents an improved SIFT (Simplified Inverse Filtering Technique) method for accurate pith estimation. In order to save computing time as well as ensuring the precision of autocorrelation, different re-sam...
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This paper presents an improved SIFT (Simplified Inverse Filtering Technique) method for accurate pith estimation. In order to save computing time as well as ensuring the precision of autocorrelation, different re-sampling ratios are utilized during the process of LPC (Linear Predictive Coding) coefficients analysis and inverse filtering respectively; Furthermore, for the sake to satisfy the range and accuracy of pitch frequency simultaneously, Hamming-weighting is adopted for searching the reliable peak value on the autocorrelation curves, and a four-point non-linear pitch-smoothing algorithm is designed to avoid incoherent errors for an example in transient speech frames. Finally, the smoothed pitch contour is extracted and time-normalized pitch frequencies are calculated, which can then be used as the feature of a speech utterance in speech recognition or speaker recognition systems. Further Experiments show that the present method for pitch estimation of speech has good performance.
For transmission of multimedia over 3G wireless networks, H.264/AVC represents a major step forward in the development of video coding standards. In this paper, firstly, the authors briefly introduce a overview of H.2...
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Terrain LOD algorithm is a dynamic and local dough sheet subduction algorithm. On the basis of the research on traditional quadtree algorithm, this paper proposed a new terrain LOD algorithm using quadtree. On deviati...
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The ambiguity and complexity of medical cerebrovascular image makes the skeleton gained by conventional skeleton algorithm discontinuous, which is sensitive at the weak edges, with poor robustness and too many burrs. ...
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This paper proposed a method for entity answer extraction, which examined three levels of relevance, including document, passage and entity. The entity answer extraction system and homepage recognition are also descri...
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In this work, we present a monitor and rescue system utilizing hybrid networks which is a integration of stationary sensor networks and mobile sensor networks: stationary sensor networks comprised of large numbers of ...
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In this work, we present a monitor and rescue system utilizing hybrid networks which is a integration of stationary sensor networks and mobile sensor networks: stationary sensor networks comprised of large numbers of small, simple, and inexpensive wireless sensors, and the mobile sensor network contains a set of mobile sensors (robots). The static sensors in our network have “monitoring” ability, i.e., any activated static sensor can detect the event as long as its sensing range intersects the event region. And the mobile sensors have “moving” and “rescuing” ability, e.g., they can move toward the event region with limited speed and further perform certain rescuing/processing operations on the event. We can consider the event as a hazard, e.g., wild fire, and the mobile sensors as fireman robots. As soon as the fire is detected by the static sensors, the fireman robots are expected to move from its initial location to the hazard region within minimum latency. We define the reaction delay of the system as the delay from the occurrence of event till at least one mobile sensor reaches the event. In order to satisfy certain reaction delay requirement while minimizing the total cost, we propose a number of deployment strategies for the stationary sensor network and mobile sensor network respectively. We further design a random wake-up scheduling for the static sensors for the sake of energy efficiency. Finally, we propose a pure distributed motion strategy for mobile sensors without reliance on localization services such as GPS, focusing on simple algorithms for distributed decision making and information propagation. We demonstrate the efficacy of our system in simulation, providing empirical results.
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