With the development of integrated circuit manufacturing technology, low power test has become a focus of concern during testing fields. This paper proposes a new low power BIST (built-in self test) scheme based on bl...
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Under the condition of Built-off Self-test (BOST), a novel test data compression scheme based on position information coding is presented, which is targeting test data and test power consumption. The proposed scheme g...
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To reduce pre-bond and post-bond test cost for 3D IP (Three Dimensional Intellectual Property) cores, this paper proposed a test wrapper optimization technique using BFD(Best Fit Decreasing) and GA (Genetic Algorithm)...
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MoCap(motion capture)-based animation is a hot issue in computer animation research *** on the optical MoCap system,this paper proposes a novel cross-mapping based facial expression simulating *** overcome the problem...
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MoCap(motion capture)-based animation is a hot issue in computer animation research *** on the optical MoCap system,this paper proposes a novel cross-mapping based facial expression simulating *** overcome the problem of the false upper and lower jaw correlation derived from the facial global RBFbased cross-mapping method,we construct a functional partition based RBF cross-mapping *** model animating,enhanced markers are added and animated by our proposed skin motion *** addition,based on the enhanced markers,an improved RBF-based animating approach is raised to derive realistic facial *** more,a pre-computing algorithm is presented to reduce computational cost for real-time *** experiments proved that the method can not only map the MoCap data of one subject to diferent personalized faces but generate realistic facial animation.
In recent years, animation reconstruction of facial expressions has become a popular research field in computer science and motion capture-based facial expression reconstruction is now emerging in this field. Based on...
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Nowadays, gene chip technology has rapidly produced a wealth of information about gene expression activities. But the time-series expression data present a phenomenon that the number of genes is in thousands and the n...
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Nowadays, gene chip technology has rapidly produced a wealth of information about gene expression activities. But the time-series expression data present a phenomenon that the number of genes is in thousands and the number of experimental data is only a few dozen. For such cases, it is difficult to learn network structure from such data. And the result is not ideal. So it needs to take measures to expand the capacity of the sample. In this paper, the Block bootstrap re-sampling method is utilized to enlarge the small expression data. At the same time, we apply "K2+T" algorithm to Yeast cell cycle gene expression data. Seeing from the experimental results and comparing with the semi-fixed structure EM learning algorithm, our proposed method is successful in constructing gene networks that capture much more known relationships as well as several unknown relationships which are likely to be novel.
The prediction of protein structure that attracts many researchers to study is an NP-hard problem. In recent year, numerous algorithms are proposed. Although particle swarm optimizer has many advantages, the disadvant...
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A kind of scale invariant features transformation (SIFT for short) operators on DWT domain are proposed for watermarking algorithm. Firstly, the low frequency of the image is obtained by DWT. And then the SIFT transfo...
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A kind of scale invariant features transformation (SIFT for short) operators on DWT domain are proposed for watermarking algorithm. Firstly, the low frequency of the image is obtained by DWT. And then the SIFT transformation is used to calculate the key feature points for the low frequency sub-image. Based on the chosen space's key points with moderate scale, a circular area as watermark embedding area is constructed. According to the research and final results, the novel digital watermark algorithm is proposed benefiting from the characteristics of SIFT's key points and local time-frequency of DWT. The algorithm not only has good robustness to resist on such operations as compression, shearing, noise addition, median filtering and scaling, but also has good inhibition to possible watermark fake verification.
In this paper, an image encryption algorithm based on combination of DNA coding with chaotic map is proposed. The proposed algorithm uses chaotic sequence generated by Logistic system to scramble the image pixels whic...
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Image matching is widely used in machine vision, computer technology, industry and agriculture and other fields. Matching the characteristics of traditional methods such as SIFT has advantages of compressed informatio...
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ISBN:
(纸本)9781479970063
Image matching is widely used in machine vision, computer technology, industry and agriculture and other fields. Matching the characteristics of traditional methods such as SIFT has advantages of compressed information quantity, high precision, but there are also some deficiencies such as the large of calculation, long time, the object to be measured of position should be required accurately and etc. This paper presents image matching method based on improved SURF feature, and the analysis and comparison are made for the three kinds of image matching methods. The experiment proved: Sometimes it can also be A single SIFT or SURF, The improved SURF more can meet the requirements of parameter estimation accuracy and real-time. It can carry out accurate judgment, recognition for the digital image. It has certain theoretical value and practical value.
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