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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This paper presents an analysis method to the global exponential stability for the delayed genetic regulatory networks with SUM regulatory functions. By transforming the kinetics of networks into a single delay differ...
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The palm-lines, including principal lines, wrinkles and ridges with different resolutions and directions, are beneficial to discriminate between two different palms. In this paper, we present a novel palmprint recogni...
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A new improved hybrid optimization algorithm - PGATS algorithm, which is based on toy off-lattice model, is presented for dealing with three-dimensional protein structure prediction problems. The algorithm combines th...
A new improved hybrid optimization algorithm - PGATS algorithm, which is based on toy off-lattice model, is presented for dealing with three-dimensional protein structure prediction problems. The algorithm combines the particle swarm optimization (PSO), genetic algorithm (GA), and tabu search (TS) algorithms. Otherwise, we also take some different improved strategies. The factor of stochastic disturbance is joined in the particle swarm optimization to improve the search ability; the operations of crossover and mutation that are in the genetic algorithm are changed to a kind of random liner method; at last tabu search algorithm is improved by appending a mutation operator. Through the combination of a variety of strategies and algorithms, the protein structure prediction (PSP) in a 3D off-lattice model is achieved. The PSP problem is an NP-hard problem, but the problem can be attributed to a global optimization problem of multi-extremum and multi-parameters. This is the theoretical principle of the hybrid optimization algorithm that is proposed in this paper. The algorithm combines local search and global search, which overcomes the shortcoming of a single algorithm, giving full play to the advantage of each algorithm. In the current universal standard sequences, Fibonacci sequences and real protein sequences are certified. Experiments show that the proposed new method outperforms single algorithms on the accuracy of calculating the protein sequence energy value, which is proved to be an effective way to predict the structure of proteins.
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