A practical method for evaluating the three-dimensional（3D） position and velocity of a moving object used in the parabolic flight experiment is developed by using the binocular stereo vision measurement theory. The ...
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A practical method for evaluating the three-dimensional（3D） position and velocity of a moving object used in the parabolic flight experiment is developed by using the binocular stereo vision measurement theory. The camera calibration mathematic model without considering the lens distortion is *** direct linear transformation（DLT） algorithm is improved to accomplish the camera *** camera calibration result and optimization algorithm are used to calculate the object＇s world coordinate from image *** 3D position and the velocity of the moving object are *** standard uncertainty in estimating the velocity is 0.0024 m/s,which corresponds to 1%level of the velocity of the object in the *** results show that this method is very useful for the parabolic flight experiments.
We build upon an embodied video chat system, called E-VChat, in which an avatar is superimposed on the other talker's video images to improve the mutual interaction in remote communications. A previous version of ...
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作者：
Selamat, AliLim, Pei-Geok
Department of Software Engineering Faculty of Computer Science and Information System Malaysia
The rapid growth of computer technologies and the advent of the World Wide Web have increased the amount and the complexity of multimedia information. A content-based image retrieval (CBIR) system has been developed a...
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ISBN:
(纸本)9781424438853
The rapid growth of computer technologies and the advent of the World Wide Web have increased the amount and the complexity of multimedia information. A content-based image retrieval (CBIR) system has been developed as an efficient image retrieval tool, whereby the user can provide their query to the system to allow it to retrieve the user's desired image from the image database. However, the traditional relevance feedback of CBIR has some limitations that will decrease the performance of the CBIR system, such as the imbalance of training-set problem, classification problem, limited information from user problem, and insufficient training-set problem. Therefore, in this study, we proposed an enhanced relevance-feedback method to support the user query based on the representative image selection and weight ranking of the images retrieved. The support vector machine (SVM) has been used to support the learning process to reduce the semantic gap between the user and the CBIR system. From these experiments, the proposed learning method has enabled users to improve their search results based on the performance of CBIR system. In addition, the experiments also proved that by solving the imbalance training set issue, the performance of CBIR could be improved.
In this paper we elucidate the advantage of examining the connections between Hilbert-Kamke equations and geometric designs, or Chebyshev-type quadrature, for classical orthogonal polynomials. We first establish a cla...
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There have been proposed several dynamic load-balancing methods for web server clusters. In order to realize an effective load-balancing, they have required an almost real-time server load information which could be o...
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Early diagnosis and timely initiation of treatment plans for diabetes are crucial for ensuring individuals’ well-being. Emerging technologies like artificial intelligence (AI) and computer vision are highly regarded ...
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The aim of this review is to study the methods of steganography using the video file as a cover carrier. The steganography is the art of protecting the information through embedding data in medium carrier, for instant...
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The femtocell network allows connecting to cellular network through broadband connection. In femtocell, time with network synchronization becomes a critical issue at present. Synchronization is a process which is requ...
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