In this paper, a novel camera parameters calibration algorithm is proposed by exploiting defocus information. The proposed algorithm is based on two defocus images of the same scene obtained by changing camera's a...
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In this paper, a novel camera parameters calibration algorithm is proposed by exploiting defocus information. The proposed algorithm is based on two defocus images of the same scene obtained by changing camera's aperture numbers. Both images can be arbitrarily blurred. The blur difference between the two defocused images was estimated. Combining with imaging geometry of the thin lens, the corresponding camera parameters can be calibrated. This proposed algorithm remove the limit of calibration algorithm given by Soon-Yong Park that one of the images used in calibration must be focused. And it is valid without process of scale normalization. The calibrated parameters yield consistent results in depth estimation. Experimental results on synthetic and real images are presented to demonstrate the effectiveness of the proposed algorithm.
In this paper, image inpainting based on single image is proposed, which is the problem of filling in the occluded or damaged regions of an image by the visible information from other part of the image. The key proble...
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In this paper, image inpainting based on single image is proposed, which is the problem of filling in the occluded or damaged regions of an image by the visible information from other part of the image. The key problems are how to convert the visible information in the image to consistence and to use available information to repair the target part. The first step of our method is to divide all images into different scene planar regions and to retrieve all regions from the projective distortions, so that the visible information can be directly used; then a new inpainting algorithm with a pyramid approach to sub-pixel image fusion based on mutual information is applied. The experiments show that the approach can repair the target image seamlessly. Our theory also develops the techniques of image fusion and makes it more practically.
An efficient discrimination method of different brain states is important in order to implement a suitable system. This paper applies the One Versus the Rest CSP to the EEG data recorded during motor imagery tasks con...
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An efficient discrimination method of different brain states is important in order to implement a suitable system. This paper applies the One Versus the Rest CSP to the EEG data recorded during motor imagery tasks consisting of four different classes, namely the imagination of right hand, left hand, foot and tongue movements. The best correct classification results for the three subjects are73.3％, 81.7％, and 76.7％.
Bio-based human computer interface(HCI) has attracted more and more attention of researches all over the world in recent years. In this paper, an EOG-based HCI system is introduced. It is composed of three parts: EOG ...
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Bio-based human computer interface(HCI) has attracted more and more attention of researches all over the world in recent years. In this paper, an EOG-based HCI system is introduced. It is composed of three parts: EOG amplifying and acquisition, EOG pattern recognition and control command output. Three plane electrodes are employed to detects the EOG signals, which contains the information related to the eye blinking and vertical( or horizontal ) eye movements referred to pre-designed command table. An online signalprocessing algorithm is designated to get the command information contained in EOG signals, and these commands could be used to control the computer or other instruments. Based on this HCI system, the remote control experiments driven by EOG are realized.
A novel watermarking sharing scheme for gray-level images is proposed, which has the ability of sharing secret (the gray-level image) with multi-users. Multiple-based number system is used to split the secret into n m...
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A novel watermarking sharing scheme for gray-level images is proposed, which has the ability of sharing secret (the gray-level image) with multi-users. Multiple-based number system is used to split the secret into n meaningless shares, each share is embedded into cover image with controlled distortion and to be assigned to each user afterwards. The main feature of the proposed scheme is sharing a secret of gray-level image among multi-users; another application of such scheme is ownership verification. To reveal the secret, the necessary amount of shares has to be presented. That is, the secret can be recovered even if some shares are lost. Simulation results show that the recovered secret has robustness against a wide range of imaging processing operations.
Bio-based human computer interface(HCI) has attracted more and more attention of researches all over the world in recent years. In this paper, an EOG-based HCI system is introduced. It is composed of three parts: EOG ...
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An atom-centered protocol based method for surface sampling in grid space is proposed. Van der Waals, solvent-accessible and solvent-excluded surface can be generated in a unified framework. A spherical hash function ...
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An atom-centered protocol based method for surface sampling in grid space is proposed. Van der Waals, solvent-accessible and solvent-excluded surface can be generated in a unified framework. A spherical hash function is used to mark whether the points are inside a sphere, and the hash tables are used to record which spheres the surface points locate on. The proposed method can be modified to apply in the parallel computation directly, which is useful for molecular dynamics simulation, docking and surface comparison and so on. Our tests indicate that the proposed method is efficient and the generated surfaces are suitable for quantitative analysis and visualization.
In audio signal Frequency-Domain Blind deconvolution,the conversion of signals from timedomain convolutive mixture to several instantaneous mixtures in frequency-domain may cause indeterminacies in scaling and *** on ...
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In audio signal Frequency-Domain Blind deconvolution,the conversion of signals from timedomain convolutive mixture to several instantaneous mixtures in frequency-domain may cause indeterminacies in scaling and *** on traditional permutation alignment algorithms,this paper proposes a permutation alignment algorithm based on multiple criterions.A combination of several classical criterions will be used to make a more precise permutation *** results show that algorithm based on multiple criterions achieves a better accuracy in permutation alignment and the acoustic quality of separation is improved.
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