检索结果-南通市图书馆

Preserving global features of fluid animation from a single image using video examples

在线全文

学校读者我要写书评

暂无评论

Journal of Zhejiang University-Science C(Computers and Electronics) 2012年第7期13卷 510-519页

作者： Yan GUI li-zhuang ma Chao YIN Zhi-hua CHEN School of Electronic Information and Electrical EngineeringShanghai Jiao Tong UniversityShanghai 200240China Department of Computer Science and Engineering East China University of Science and TechnologyShanghai 200237China

We synthesize animations from a single image by transferring fluid motion of a video example *** a target image of a fluid scene,an alpha matte is required to extract the fluid *** method needs to adjust a user-specified video example for producing the fluid motion suitable for the extracted fluid *** the fluid video database,the flow field of the target image is obtained by warping the optical flow of a video frame that has a visually similar scene to the target image according to their scene correspondences,which assigns fluid orientation and speed *** show that our method is successful in preserving large fluid features in the synthesized *** comparison to existing approaches,it is both possible and useful to utilize our method to create flow animations with higher quality.

关键词： Single image Video example Fluid feature Fluid motion Flow animation

Photographic Appearance Enhancement via Detail-Based Dictionary Learning

在线全文

学校读者我要写书评

暂无评论

Journal of Computer Science & Technology 2017年第3期32卷 417-429页

作者： Zhi-Feng Xie Shi Tang Dong-Jin Huang You-Dong Ding li-zhuang ma Department of Film and Television Engineering Shanghai University Shanghai 200072 China Shanghai Engineering Research Center of Motion Picture Special Effects Shanghai 200072 China Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China

A number of edge-aware filters can efficiently boost the appearance of an image by detail decomposition and enhancement. However, they often fail to produce photographic enhanced appearance due to some visible artifacts, especially noise, halos and unnatural contrast. The essential reason is that the guidance and the constraint of high-quality appearance are not sufficient enough in the process of enhancement. Thus our idea is to train a detail dictionary from a lot of high-quality patches in order to constrain and control the entire appearance enhancement. In this paper, we propose a novel learning-based enhancement method for photographic appearance, which includes two main stages： dictionary training and sparse reconstruction. In the training stage, we construct a training set of detail patches extracted from some high-quality photos, and then train an overcomplete detail dictionary by iteratively minimizing an？1-norm energy function. In the reconstruction stage, we employ the trained dictionary to reconstruct the boosted detail layer, and further formalize a gradient-guided optimization function to improve the local coherence between patches. Moreover, we propose two evaluation metrics to measure the performance of appearance enhancement. The final experimental results have demonstrated the effectiveness of our learning-based enhancement method.

关键词： image enhancement dictionary learning edge-aware filter

Multi-Exposure Motion Estimation Based on Deep Convolutional Networks

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Computer Science & Technology 2018年第3期33卷 487-501页

作者： Zhi-Feng Xie Yu-Chen Guo Shu-Han Zhang Wen-Jun Zhang li-zhuang ma Department of Film and Television Engineering Shanghai University Shanghai 200072 China Shanghai Engineering Research Center of Motion Picture Special Effects Shanghai 200072 China Department of Software Science and Technology East China Normal University Shanghai 200062 China

In motion estimation, illumination change is always a troublesome obstacle, which often causes severely per- formance reduction of optical flow computation. The essential reason is that most of estimation methods fail to formalize a unified definition in color or gradient domain for diverse environmental changes. In this paper, we propose a new solution based on deep convolutional networks to solve the key issue. Our idea is to train deep convolutional networks to represent the complex motion features under illumination change, and further predict the final optical flow fields. To this end, we construct a training dataset of multi-exposure image pairs by performing a series of non-linear adjustments in the traditional datasets of *** estimation. Our multi-exposure flow networks （MEFNet） model consists of three main components： low-level feature network, fusion feature network, and motion estimation network. The former two components belong to the contracting part of our model in order to extract and represent the multi-exposure motion features; the third component is the expanding part of our model in order to learn and predict the high-quality optical flow. Compared with many state- of-the-art methods, our motion estimation method can eliminate the obstacle of illumination change and yield optical flow results with competitive accuracy and time efficiency. Moreover, the good performance of our model is also demonstrated in some multi-exposure video applications, like HDR （high dynamic range） composition and flicker removal.

关键词： motion estimation optical flow convolutional neural network multi-exposure

Review:Image anti-aliasing techniques for Internet visual media processing: a review

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Zhejiang University-Science C(Computers and Electronics) 2014年第9期15卷 717-728页

作者： Xu-dong JIANG Bin SHENG Wei-yao liN Wei LU li-zhuang ma Department of Computer Science and Engineering Shanghai Jiao Tong University State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Department of Electronic Engineering Shanghai Jiao Tong University Autodesk Software (China) Co. Ltd. Shanghai Branch

Anti-aliasing is a well-established technique in computer graphics that reduces the blocky or stair-wise appearance of pixels. This paper provides a comprehensive overview of the anti-aliasing techniques used in computer graphics, which can be classified into two categories: post-filtering based anti-aliasing and pre-filtering based anti-aliasing. We discuss post-filtering based anti-aliasing algorithms through classifying them into hardware anti-aliasing techniques and post-process techniques for deferred rendering. Comparisons are made among different methods to illustrate the strengths and weaknesses of every category. We also review the utilization of anti-aliasing techniques from the first category in different graphic processing units, i.e., different NVIDIA and AMD series. This review provides a guide that should allow researchers to position their work in this important research area, and new research problems are identified.

关键词： Anti-aliasing Hardware Post-filtering Pre-filtefing Sampling

Relationship between symptoms of traditional Chinese medicine and indicator of western medicine about liver cirrhosis

在线全文

学校读者我要写书评

暂无评论

Journal of Biomedical Science and Engineering 2008年第2期1卷 104-109页

作者： Yan Wang li-zhuang ma Ping liu Xiao-Wei liao Department of Computer Science & Engineering Shanghai Jiao tong University Institute of liver Diseases Shanghai University of Traditional Chinese Medicine

Traditional Chinese medicine (TCM) is one of the safe and effective methods to treat liver cir-rhosis. The practitioners of TCM assess hepatic function in term of syndrome. But the course of syndrome differentiation is subjectivity. At pre-sent most of all the researches are focused on the relationship between the syndrome and the Western medicine objective indicators such as child-pugh grade. In fact syndrome is the syn-thesis of signs and symptoms and collecting signs, symptoms is easy than syndrome differ-entiation. We try to explore the relationship be-tween the objective Western medicine standard such as child-pugh grade, decompensation or compensation stage, active or inactive period and the signs and symptoms of TCM by using the data mining method. We use the information gain method to assess the attributes and use five typical classifiers such as logistic, Bayes-Net, NaiveBayes, RBF and C4.5 to obtain the classification accuracy. After attribute selection, we obtain the main symptoms and signs of TCM relating to the stage, period and child-pugh grade about liver cirrhosis. The experiment re-sults show the classification accuracy is im-proved after filtering some symptoms and signs.

关键词： Traditional Chinese medicine liver cirrhosis Attribute selection Data mining Classification accuracy

Local magnetic moment oscillation around an Anderson impurity on graphene

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Science China(Physics,Mechanics & Astronomy) 2025年第1期Mechanics & Astronomy) .卷 192-201页

作者： Shuai li Zhen ma Jin-Hua Gao School of Science Hebei University of Science and Technology School of Electronics and Information Zhengzhou University of Light Industry School of Physics and Wuhan National High magnetic Field Center Huazhong University of Science and Technology

We theoretically investigate the spin resolved Friedel oscillation （FO） and quasiparticle interference （QPI） in graphene induced by an Anderson *** the impurity becomes magnetic,the resulted FO becomes spin dependent,which gives rise to a local magnetic moment oscillation with an envelop decaying as r-2in real space in the doping ***,at half filling,the electron density and local magnetic moment will not oscillate but decay as *** spin resolved FO has both sublattice and spin ***,the local magnetic moment decay at half filling only occurs at one sublattice of graphene,which is quite like the phenomenon observed in the STM experiment (***ález-Herrero et al.,Science 352,437 （2016）).We further give an analytic formula about such spin dependent FO based on the stationary phase ***,we study the interference of quasiparticles around the magnetic impurity by calculating the spin dependent Fourier-transformed local density of states （FT-LDOS）.Our work gives a comprehensive understanding about the local magnetic moment oscillation around an Anderson impurity on graphene.

关键词： Friedel oscillation local magnetic moment graphene Anderson impurity

Efficient and Stable Perovskite Solar Cells and Modules Enabled by Tailoring Additive Distribution According to the Film Growth Dynamics

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Nano-Micro Letters 2025年第2期17卷 387-400页

作者： Mengen ma Cuiling Zhang Yujiao ma Weile li Yao Wang Shaohang Wu Chong liu Yaohua mai Institute of New Energy Technology College of Physics&Optoelectronic EngineeringJinan UniversityGuangzhou 510632People’s Republic of China Key Laboratory of New Semiconductors and Devices of Guangdong Higher Education Institutes Jinan UniversityGuangzhou 510632People’s Republic of China Guangdong Mellow Energy Co. LimitedYuanming RoadZhuhai 519075GuangdongPeople’s Republic of China

Gas quenching and vacuum quenching process are widely applied to accelerate solvent volatilization to induce nucleation of perovskites in blade-coating *** this work,we found these two pre-crystallization processes lead to different order of crystallization dynamics within the perovskite thin film,resulting in the differences of additive *** then tailor-designed an additive molecule named 1,3-bis(4-methoxyphenyl)thiourea to obtain films with fewer defects and holes at the buried interface,and prepared perovskite solar cells with a certified efficiency of 23.75%.Furthermore,this work also demonstrates an efficiency of 20.18%for the large-area perovskite solar module(PSM)with an aperture area of 60.84 cm^(2).The PSM possesses remarkable continuous operation stability for maximum power point tracking of T_(90)>1000 h in ambient air.

关键词： Gas quenching Additive distribution Buried passivation Blade coating Crystallization dynamics

Hypidone hydrochloride(YL-0919)ameliorates functional deficits after traumatic brain injury in mice by activating the sigma-1 receptor for antioxidation

在线全文

学校读者我要写书评

暂无评论

Neural Regeneration Research 2025年第8期20卷 2325-2336页

作者： Yafan Bai Hui ma Yue Zhang Jinfeng li Xiaojuan Hou Yixin Yang Guyan Wang Yunfeng li Department of Anesthesiology Beijing Tongren HospitalCapital Medical UniversityBeijingChina Beijing Institute of Basic Medical Sciences BeijingChina Hebei North University ZhangjiakouHebei ProvinceChina Beijing Institute of Pharmacology and Toxicology State Key Laboratory of Toxicology and Medical CountermeasuresBeijing Key Laboratory of NeuropsychopharmacologyBeijingChina

Traumatic brain injury involves complex pathophysiological mechanisms,among which oxidative stress significantly contributes to the occurrence of secondary *** this study,we evaluated hypidone hydrochloride(YL-0919),a self-developed antidepressant with selective sigma-1 receptor agonist properties,and its associated mechanisms and targets in traumatic brain *** experiments to assess functional deficits were followed by assessment of neuronal damage through histological analyses and examination of blood-brain barrier permeability and brain ***,we investigated the antioxidative effects of YL-0919 by assessing the levels of traditional markers of oxidative stress in vivo in mice and in vitro in HT22 ***,the targeted action of YL-0919 was verified by employing a sigma-1 receptor antagonist(BD-1047).Our findings demonstrated that YL-0919 markedly improved deficits in motor function and spatial cognition on day 3 post traumatic brain injury,while also decreasing neuronal mortality and reversing blood-brain barrier disruption and brain ***,YL-0919 effectively combated oxidative stress both in vivo and in *** protective effects of YL-0919 were partially inhibited by *** results indicated that YL-0919 relieved impairments in motor and spatial cognition by restraining oxidative stress,a neuroprotective effect that was partially reversed by the sigma-1 receptor antagonist ***-0919 may have potential as a new treatment for traumatic brain injury.

关键词： antidepressant drug blood-brain barrier cognitive function hypidone hydrochloride(YL-0919) neurological function nuclear factor-erythroid 2 related factor 2 oxidative stress sigma-1 receptor superoxide dismutase traumatic brain injury

在线全文

学校读者我要写书评

暂无评论

CaCO_3涂层激光烧蚀性能初步探究

中国材料进展 2017年第2期36卷 126-131页

作者：李文智马壮高丽红王富耻王立君韦成华北京理工大学材料学院北京100081 西北核技术研究所激光与物质相互作用国家重点实验室陕西西安710024

激光器因其自身的特点得到了长足的发展和广泛的应用,相应的,随着激光的军事化应用所产生的激光威胁必须得到妥善解决,为了保护装备及其基体不受激光损伤和破坏,激光防护必不可少。而现阶段,对于大功率连续激光而言,其对材料的破坏形式... 详细信息

激光器因其自身的特点得到了长足的发展和广泛的应用,相应的,随着激光的军事化应用所产生的激光威胁必须得到妥善解决,为了保护装备及其基体不受激光损伤和破坏,激光防护必不可少。而现阶段,对于大功率连续激光而言,其对材料的破坏形式主要是热破坏,表现为被辐照材料温度达到一定临界点后,以氧化、熔融、气化的形式发生不可逆的损耗,所以为了保证装备及其基体不发生上述破坏,采用一定的方式消耗入射激光能量,进而减小激光热量转化和沉积使得温度降低到材料损伤阈值以下,是可行的方式之一。因此,基于上述机制选用了一种常见的焓变涂料CaCO_3作为研究对象,探究了其激光烧蚀行为和防护能力。研究结果表明,CaCO_3涂层明显降低了基体材料在激光辐照下的温度,实现了入射激光能量的有效耗散。并经初步计算,单位面积(1 cm^2)涂层可耗散0.473 kJ的能量,可降低45钢基体温度约53℃。

关键词：激光防护激光烧蚀 CaCO3 涂层热量吸收