In this paper, we propose a matching method for remote sensing images based on corner structures. Firstly corner angle vector is defined to analysis corner structure, and the process of how to obtain it is discussed i...
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In this paper, we propose a matching method for remote sensing images based on corner structures. Firstly corner angle vector is defined to analysis corner structure, and the process of how to obtain it is discussed in detail. Then some measures are given to eliminate the false corners. Finally a relaxation matching scheme is presented. The experiments show the effectiveness and feasibility of our matching method.
Presents an efficient method which uses two neighboring frames in image sequences for target identification. Using statistical information about the background noise and candidate regions' noise after background r...
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ISBN:
(纸本)0780342534
Presents an efficient method which uses two neighboring frames in image sequences for target identification. Using statistical information about the background noise and candidate regions' noise after background registration, we can determine those candidate regions that have the same or similar noise distributions to the background's which should be background regions, and those candidate regions that have different noise distributions from the background's which should be the target region. In particular, when there is only one target in the image, we can simply determine that the candidate region whose noise distribution is most different from the background's is the true target.
This paper presented a new algorithm for face detection in complex environment from images. The algorithm works by first doing lighting compensation on input image, then it segments and combines skin regions obtained ...
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This paper presented a new algorithm for face detection in complex environment from images. The algorithm works by first doing lighting compensation on input image, then it segments and combines skin regions obtained through applying skin model, and extracts face candidates with the aid of heuristic information. Finally, it evaluates the existence of facial features, such as face boundary, eyes and mouth, in those face candidates. The detection rate has achieved 89.7% when the algorithm is employed to detect 1010 color face images containing face rotations with complex environment and lighting variances.
The infomax algorithm was applied to perform the feature extraction for the ship-radiated noise. It is proved that the ICA transform can improve the sup-Gaussian property of ship-radiated noise. Based on the property ...
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The infomax algorithm was applied to perform the feature extraction for the ship-radiated noise. It is proved that the ICA transform can improve the sup-Gaussian property of ship-radiated noise. Based on the property of sparse coding, an efficient de-noising result can be obtained by the threshold method. The de-nosing experiments of ship-radiated noise with sea noise show that the proposed method is valid and more efficient than other conventional methods.
This paper proposed a novel watermarking scheme for the authentication of business documents by embedding a piece of information in the binary document image. Because it is based on printing text, the most important p...
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This paper proposed a novel watermarking scheme for the authentication of business documents by embedding a piece of information in the binary document image. Because it is based on printing text, the most important point is to find out an embedding and abstraction method based on the binary images. This paper gave out an embedding method based on the regions otherwise single pixels, in which the printing character is divided into some regions, and the watermark value is decided by the 0/1 ratio in the region. Based on many experiments, this paper also deduced the rules to change the 0/1 ratio without notice. At the end, the robustness of this method against.hardware difference is experimented, and there-suits show that this scheme is useful and potential.
An adaptive motion selection algorithm for online hand-eye calibration was presented. It can adaptively set the thresholds of motion selection according to the characteristics of the unplanned motion sequence. It is a...
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An adaptive motion selection algorithm for online hand-eye calibration was presented. It can adaptively set the thresholds of motion selection according to the characteristics of the unplanned motion sequence. It is achieved by using polynomial-regression to predict the relationship between RMS error of calibration and thresholds. By using motion selection, the bad effect of small rotations and the degenerate motions such as pure translations will be removed and the accuracy of online hand-eye calibration be improved. Thus, this method can adapt itself to the online hand-eye calibration in various applications. Experiments using simulated and real data were conducted which present good results.
This paper presented a novel algorithm to extract eye features, including pupil center and radius, eye corners and eyelid contours, from frontal face images. Such features are very useful cues for applications like fa...
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This paper presented a novel algorithm to extract eye features, including pupil center and radius, eye corners and eyelid contours, from frontal face images. Such features are very useful cues for applications like face recognition, facial expression recognition and 3D face modeling from 2D images. The novel method is based on color information, Gabor features and the mutual localization relationship between different features. It works in three steps: (1) Pupil center is detected and estimated in H channel of HSV color space, and then pupil radius is estimated and refined;(2) Eye corners are localized using eye-corner filter based on Gabor feature space;(3) Based on the first and second steps, eyelid curves are fitted by spline function. The experimental results on SJTU dataset show sufficient accuracy and robustness of the novel method.
A novel diversity-sampling based Gaussian kernel density estimation (KDE) model was proposed for the representation of multimodal background. Choosing those samples that have diversiform gray-levels in training sequen...
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A novel diversity-sampling based Gaussian kernel density estimation (KDE) model was proposed for the representation of multimodal background. Choosing those samples that have diversiform gray-levels in training sequence, a nonparametric model was built for modeling the scene background. According to the related gray-level, the different weights are given to the different samples in kernel density estimation. This avoids the repetition computation using the total samples, and makes KDE very effective. The experimental results show the good detection performance in the traffic surveillance system.
There exist uncertainties in rough set, and how to measure these uncertainties is a valuable problem to study. The basic methods for measuring uncertainty in rough set can not distinguish different granularity of part...
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There exist uncertainties in rough set, and how to measure these uncertainties is a valuable problem to study. The basic methods for measuring uncertainty in rough set can not distinguish different granularity of partitions. According to the definitions of accuracy of rough set and information entropy, this paper presented a new method for measuring uncertainty in rough set, and proved that this rough entropy monotonously increases while the partition granularity decreases. The new rough entropy can measure not only the size of uncertainty region in rough set but also the partition granularity. A practical examplt shows that this new method is effective.
A system of map structure recognition and automatic map data acquisition was proposed. This system is based on binary skeleton image which is firstly obtained from scanned maps. Basic graph and super graph are propose...
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A system of map structure recognition and automatic map data acquisition was proposed. This system is based on binary skeleton image which is firstly obtained from scanned maps. Basic graph and super graph are proposed to facilitate the processing. Then kinds of interferential structures are analyzed and the corresponding removal methods are also introduced. Finally, the breaking point method is presented to polygonalize the house/building graph. The experiments conducted with various maps prove that the system is robust and effective to deal with complex scanned paper maps and can generate vector map automatically and correctly.
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