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Joint view synthesis and disparity refinement for stereo matching

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Frontiers of Computer Science 2019年第6期13卷 1337-1352页

作者： Gaochang WU Yipeng LI Yuanhao HUANG yebin liu State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang 110819China Broadband Network&Digital Media Lab Department of AutomationTsinghua UniversityBeijing 100084China Orbbec Company Shenzhen 518061China

Typical stereo algorithms treat disparity estimation and view synthesis as two sequential *** this paper,we consider stereo matching and view synthesis as two complementary components,and present a novel iterative refinement model for joint view synthesis and disparity *** achieve the mutual promotion between view synthesis and disparity refinement,we apply two key strategies,disparity maps fusion and disparity-assisted plane sweep-based rendering(DAPSR).On the one hand,the disparity maps fusion strategy is applied to generate disparity map from synthesized view and input *** strategy is able to detect and counteract disparity errors caused by potential artifacts from synthesized *** the other hand,the DAPSR is used for view synthesis and updating,and is able to weaken the interpolation errors caused by outliers in the disparity *** on Middlebury benchmarks demonstrate that by introducing the synthesized view,disparity errors due to large occluded region and large baseline are eliminated effectively and the synthesis quality is greatly improved.

关键词： stereo matching view synthesis disparity refinement

Embodied computational imaging: a new paradigm for observing and analyzing spatiotemporally ultrasensitive phenomena at multiple scales

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Science China(Information Sciences) 2024年第11期67卷 354-356页

作者： Baoquan CHEN Zhouchen LIN Peng XI yebin liu Xiaodian CHEN School of Intelligence Science and Technology Peking University College of Future Technology Peking University Department of Automation Tsinghua University National Astronomical Observatories Chinese Academy of Sciences

Imaging is the foundational tool for scientists to observe and understand the world. It has served as the basis for scientific discoveries over human history. In recent years, with the rapid advancement of artificial intelligence and computing technologies, a new interdisciplinary field, computational imaging, has emerged and developed. By jointly optimizing imaging hardware and processing algorithms, computational imaging continuously breaks through the physical limits of traditional imaging systems in aspects such as resolution,dimension, contrast, and throughput.

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View Synthesis from multi-view RGB data using multi layered representation and volumetric estimation

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Virtual Reality & Intelligent Hardware 2020年第1期2卷 43-55页

作者： Zhaoqi SU Tiansong ZHOU Kun LI David BRADY yebin liu Department of Automation Tsinghua UniversityBeijing 100086China Tianjin University Tianjin 300072China Duke Kunshan University Kunshan 215316China

Background Aiming at free-view exploration of complicated scenes,this paper presents a method for interpolating views among multi RGB *** In this study,we combine the idea of cost volume,which represent 3 D information,and 2 D semantic segmentation of the scene,to accomplish view synthesis of complicated *** use the idea of cost volume to estimate the depth and confidence map of the scene,and use a multi-layer representation and resolution of the data to optimize the view synthesis of the main ***/Conclusions By applying different treatment methods on different layers of the volume,we can handle complicated scenes containing multiple persons and plentiful *** also propose the view-interpolation→multi-view reconstruction→view interpolation pipeline to iteratively optimize the *** test our method on varying data of multi-view scenes and generate decent results.

关键词： View interpolation Cost volume Multi-layer processing Multi-view reconstruction Iterative optimization

Neural hand reconstruction using an RGB image

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Virtual Reality & Intelligent Hardware 2020年第3期2卷 276-289页

作者： Mengcheng LI Liang AN Tao YU Yangang WANG Feng CHEN yebin liu Department of Automation Tsinghua UniversityBeijing 100086China Southeast University Nanjing 210096China

Background This study presents a neural hand reconstruction method for monocular 3D hand pose and shape *** Alternate to directly representing hand with 3D data,a novel UV position map is used to represent a hand pose and shape with 2D data that maps 3D hand surface points to 2D image ***,an encoder-decoder neural network is proposed to infer such UV position map from a single *** train this network with inadequate ground truth training pairs,we propose a novel MANOReg module that employs MANO model as a prior shape to constrain high dimensional space of the UV position *** The quantitative and qualitative experiments demonstrate the effectiveness of our UV position map representation and MANOReg module.

关键词： Hand reconstruction Convolution neural network Single image Motion capture

Expression of IL-1α, IL-6, TGF-β, FasL and ZNF265 During Sertoli Cell Infection by Ureaplasma Urealyticum

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Cellular & Molecular Immunology 2009年第3期6卷 215-221页

作者： Rongping Li yebin Xi Xiuzhi liu Guangjie Chen Baoguo Wang Lihua Jiang Weiyi Li Shanghai Jiao Tong University School of Medicine Department of ImmunoLogy Shanghai Institute of Immunology Shanghai 200025 China

To investigate immunoregulatory mechanisms of Sertoli cells in the testis in vitro and in vivo, we utilized our well-characterized Ureaplasma Urealyticum （UU）-induced model. We investigated the expressions of IL-1α, IL-6, TGF-β, FasL and ZNF265 at the first, second and third weeks post-infection. During recovery from inflammation and with the help of negative regulators TGF-β and FasL, the high levels of IL-1α and IL-6 expressions were observed in the early stages of the infection, and decreased gradually in the later weeks both in vitro and in vivo. The trend of varied expression of ZNF265 was similar to those of TGF-β and FasL in vitro and in vivo for Sertoli cells infected with UU.

关键词： ZNF265 TGF-β FasL Sertoli cell immunoregulation

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基于视频的现实人物运动创作

计算机辅助设计与图形学学报 2012年第1期24卷 11-13页

作者：徐枫刘烨斌戴琼海清华信息科学与技术国家实验室(筹) 清华大学自动化系

提出一种根据用户指定的人体运动和观察视角生成真实感视频的方法.首先采集演员进行少数基本运动时的多视角视频数据库,并使用无标记运动捕捉的方法获得任意时刻人体对应的骨骼和3D模型.其次,用户对人体骨架指定运动并设定视角,以此定... 详细信息

提出一种根据用户指定的人体运动和观察视角生成真实感视频的方法.首先采集演员进行少数基本运动时的多视角视频数据库,并使用无标记运动捕捉的方法获得任意时刻人体对应的骨骼和3D模型.其次,用户对人体骨架指定运动并设定视角,以此定义目标视频.实验结果验证了文中方法能够利用有限的数据库合成演员在用户指定运动和视角下的真实感视频.

关键词：运动捕捉基于骨架的运动合成检索基于图像的变形

H.264/AVC解码器解块滤波的结构优化

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计算机工程与应用 2005年第29期41卷 104-106页

作者：牛晓雷戴琼海刘烨斌清华大学宽带网数字媒体技术实验室北京100084

相对于桌面系统,无线手持设备处理器的主频很低,这要求视频解码器具有更好的解码速度。论文重新设计了H.264/AVC规定的标准解码器结构,对解块滤波和重构显示模块进行了结构优化,有效提高了解码速度。

关键词： H.264/AVC 解块滤波解码重构结构优化

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显微镜景深拓展技术研究

应用光学 2014年第6期35卷 1075-1082页

作者：张平吴嘉敏林靖宇刘烨斌清华大学自动化系北京100084 江苏北方湖光光电有限公司江苏无锡214035

随着生命科学需求的日益迫切,显微镜的景深拓展成为显微领域的一个重要发展方向,为了更好地了解、研究显微景深问题,对景深拓展技术进行研究与总结。以显微景深的大幅提升为出发点,就光学切片扫描、空间光调制、波前编码及光场显微4个... 详细信息

随着生命科学需求的日益迫切,显微镜的景深拓展成为显微领域的一个重要发展方向,为了更好地了解、研究显微景深问题,对景深拓展技术进行研究与总结。以显微景深的大幅提升为出发点,就光学切片扫描、空间光调制、波前编码及光场显微4个方面进行了全面的综合性论述。对这些技术的原理、方式及拓展水平进行了阐述,并就其技术缺陷、发展方向进行了归纳总结。随着技术水平的提高,显微景深较传统显微镜可提高1~2个数量级。

关键词：景深显微计算摄像光场光调制

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高标准农田建设项目三方演化博弈与仿真研究

农林经济管理学报 2022年第3期21卷 298-309页

作者：刘立刚廖倩凯刘烨斌欧阳春荣江西理工大学经济管理学院江西赣州341000 赣州市民营经济研究中心江西赣州341000 江西农业大学经济管理学院江西南昌330045 赣州市农业农村局江西赣州341000

为研究高标准农田建设项目的管理和土地流转问题,在三方有限理性基础上,构建政府、农民及承包户三方演化博弈模型,同时结合系统动力学方法对三方利益主体的行为策略进行仿真分析。结果表明:三方博弈主体根据自身收益的变化调整选择策略... 详细信息

为研究高标准农田建设项目的管理和土地流转问题,在三方有限理性基础上,构建政府、农民及承包户三方演化博弈模型,同时结合系统动力学方法对三方利益主体的行为策略进行仿真分析。结果表明:三方博弈主体根据自身收益的变化调整选择策略,系统最终可达到政府建设高标准农田、农民流转农田、承包户受让农田的稳定均衡状态;在演化过程中,政府对农民和承包户的行为策略起到引导作用,农民流转农田是系统趋于稳定的前提条件,农田的耕作成本也是影响博弈三方达到稳定均衡点的重要因素。基于此,建议从优化三方主体协调机制、重视农民流转农田得益、提高农田开发科技含量等方面促进高标准农田可持续发展。

关键词：高标准农田演化博弈系统动力学土地流转

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