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3d image acquisition and display: technology, perception and applications, 3d 2016

作者： Mikula, Marta Kozacki, Tomasz Józwik, Michal Kostencka, Julianna Warsaw University of Technology Faculty of Mechatronics Institute of Micromechanics and Photonics 8 Sw. Andrzeja Boboli St. Warsaw02-525 Poland

This work presents a holographic measurement method based on interference of two spherical waves. It is devoted to numerical and experimental analysis of the influence of misalignment of imaging and illuminating plane... 详细信息

ISBN: (纸本)9781943580156

关键词： Spheres

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New steps of image quality enhancement and evaluation in video applications

New steps of image quality enhancement and evaluation in vid...

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International Scientific-Practical Conference Problems of Infocommunications Science and technology

作者： Oleg Gofaizen Olena Osharovska Mikola Patlayenko Volodymyr Pyliavskyi Department of Radio and Television Broadcasting Odessa National Academy of Telecommunications Named after O.S.Popov Odessa Ukraine

ISBN: (纸本)9781538609842

The paper presents results of authors' studies in the field of image quality in light of new technologies of image capturing, production, processing, delivery and reproduction in TV and related video applications. With coming era of UHdTV, HdR-TV and 3d-TV the approaches for image rendition quality are being changed together with progress of video technology and with changing image viewing conditions at the transmission and repro-duction ends of light-to-light video chain. There are the proposals for the use to assess color ren-dition fidelity of colorimetric models covering of color ap-pearance conditions in the traditional luminance range, for which models of photopic mechanism of color vision are functioning, in the luminance range of glares corresponding to the model of perception of unrelated colors, as well as in the luminance range in the area corresponding to the mesopic and scotopic perception model. It is proposed to build the test materials and assessment criteria, which would allow to give a separate estimate for the three mentioned are-as. Estimations of color appearance metric for traditional dynamic range systems are get. The tasks for more complete evaluation of color fidelity, taking into account the mentioned problems, are set. Estimates of the relative color gamut area with consideration of color appearance model are made. Examples of constructing sets of colors, uniformly filling a region of colors transmit-ted by TV systems, are provided. The issues of the possible use new types of systems, adaptive to the properties of transmitted scenes and conditions of image perception at the transmitting, receiving sides and at intermediate points of video path are discussed. Ar-guments for the use of image quality evaluation methods in view of adaptability are provided. The problem of implementation object-oriented approach to the transmission scenes in the case of the mesh presentation natural objects model is considered. An example of the mesh representa

关键词： image quality image color analysis image coding

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Hand-held Radar with Video Positioning System for Microwave Imaging

Hand-held Radar with Video Positioning System for Microwave ...

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Progress in Electromagnetic Research Symposium

作者： V. V. Razevig A. V. Zhuravlev M. A. Chizh S. I. Ivashov A. S. Bugaev Remote Sensing Laboratory Bauman Moscow State Technical University Russia Moscow Institute of Physics and Technology State University Russia

Obtaining microwave images of subsurface objects with scanning radar systems requires positioning of the radar antenna within a fraction of the wavelength in the medium. At the frequencies of several gigahertz the positioning of the radar is achieved by a distance measuring wheel, which can be used only on smooth surfaces. In such a positioning system the data acquisition requires collecting data samples along parallel lines to get plan view images. In this paper a hand-held radar equipped with a video-based positioning system is considered. The video-based positioning system, which uses a web-camera and a contrast graphical marker (an AR-marker), enables positioning the radar in 3d with sufficient precision without any constraints on the sampling pattern. The radar position is calculated using correspondence between the physical coordinates of the marker corners and their projections on the web-camera image. Reconstruction of the microwave image is performed by a back projection method which uses 3d coordinates of each data sample. The result of data processing can be presented as a traditional microwave image, or as an overlay to the image of the scene (augmented reality). This way of data visualization removes the problem of radar data remapping from the computer screen to the probed scene. Several application areas of the developed technique are outlined. Among the considered problems are: obtaining radar images of concealed objects under clothing by a handheld radar scanner and obtaining radar images over uneven surfaces (arched ceilings, columns, statues, natural soil etc.). The first of these applications is illustrated with experimentally obtained results.

关键词： Radar imaging Radar antennas Microwave imaging Microwave theory and techniques Radar tracking image reconstruction

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Panel design of a MIMO imaging radar at W-band for space applications

Panel design of a MIMO imaging radar at W-band for space app...

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European Radar Conference (EURAd)

作者： Jochen Moll Bernd Hils Amit Shrestha Andre Ehlert Viktor Krozer Karsten Thurn Martin Vossiek Michael Hrobak Maruf Hossain Wolfgang Heinrich Marion Resch Jürgen Bosse Department of Physics Goethe University of Frankfurt Frankfurt am Main Germany Friedrich-Alexander University Erlangen-Nürnberg Institute of Microwaves and Photonics Erlangen Germany Ferdinand-Braun-Institut Leibniz-Institut für Höchstfrequenztechnik Berlin Germany Robo-Technology GmbH Puchheim Germany

This paper describes the concept of a modularized multiple input multiple output (MIMO) imaging radar in the frequency range of 85 to 95 GHz that enables high resolution 3d imaging for space applications. The goal is to track and image a non-cooperative object such as space debris. An optimized MIMO antenna arrangement will be proposed that shows an excellent point spread function (PSF) at typical object distances. Furthermore, information on the MIMO radar system will be provided including X-band direct digital synthesis (ddS), antenna design, integrated radar components and data acquisition.

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T-LESS: An RGB-d dataset for 6d Pose Estimation of Texture-Less Objects

T-LESS: An RGB-D Dataset for 6D Pose Estimation of Texture-L...

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IEEE Workshop on applications of Computer Vision (WACV)

作者： Tomáš Hodan Pavel Haluza Štepán Obdržálek Jirí Matas Manolis Lourakis Xenophon Zabulis Center for Machine Perception Czech Technical University in Prague Czech Republic Institute of Computer Science Foundation for Research and Technology — Hellas Heraklion Greece

We introduce T-LESS, a new public dataset for estimating the 6d pose, i.e. translation and rotation, of texture-less rigid objects. The dataset features thirty industry-relevant objects with no significant texture and no discriminative color or reflectance properties. The objects exhibit symmetries and mutual similarities in shape and/or size. Compared to other datasets, a unique property is that some of the objects are parts of others. The dataset includes training and test images that were captured with three synchronized sensors, specifically a structured-light and a time-of-flight RGB-d sensor and a high-resolution RGB camera. There are approximately 39K training and 10K test images from each sensor. Additionally, two types of 3d models are provided for each object, i.e. a manually created CAd model and a semi-automatically reconstructed one. Training images depict individual objects against a black background. Test images originate from twenty test scenes having varying complexity, which increases from simple scenes with several isolated objects to very challenging ones with multiple instances of several objects and with a high amount of clutter and occlusion. The images were captured from a systematically sampled view sphere around the object/scene, and are annotated with accurate ground truth 6d poses of all modeled objects. Initial evaluation results indicate that the state of the art in 6d object pose estimation has ample room for improvement, especially in difficult cases with significant occlusion. The T-LESS dataset is available online at cmp:felk:cvut:cz/t-less.

关键词： Three-dimensional displays Solid modeling Training image color analysis Sensors image sensors Pose estimation

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Optical single pixel detection with sampling functions utilizing prior knowledge

Optical single pixel detection with sampling functions utili...

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International Conference on Transparent Optical Networks

作者： Krzysztof Czajkowski Anna Pastuszczak Rafał Kotyński Faculty of Physics University of Warsaw Warsaw Poland

Single pixel detectors find applications ranging from multispectral imaging, through polarimetric, 3d, and holographic imaging, up to optical encryption and imaging through scattering media, which are however all hindered by the high measurement and reconstruction times. In this paper we propose to reduce the required signal acquisition time by using non-ergodic stationary sampling correlated with the measurement. The proposed sampling scheme after binarization can be used with binary spatial light modulators such as the digital micro-mirror devices. We report respective optical results obtained with a single-pixel detector with a state-of-the-art 21 kHz dMd. The proposed sampling method is based on a random selection of Morlet wavelet functions convolved with white noise. Our choice of sampling functions provides a trade-off between two contradictory objectives. One is the use sampling functions incoherent with the basis in which the image has a sparse representation, as is required in the compressive sensing framework. This is an argument for using random sampling. The other is to use sampling functions with the highest possible correlation with the image, which give a fast learning rate when some a priori information on the image is available. Here, wavelets are clearly preferable with respect to uncorrelated random patterns, and what we propose is a a trade-off between these two approaches.

关键词： Imaging image reconstruction image coding detectors Noise measurement Optimized production technology Compressed sensing

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基于数字相机和时间心理视觉调制的增强现实技术

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计算机应用 2017年第8期37卷 2298-2301,2328页

作者：卢晓勇游斌林珮瑜陈木生南昌大学软件学院南昌330047 元智大学资讯传播学系台湾桃园32003

为了拓展增强现实(AR)的实用性,提出一种基于时间心理视觉调制(TPVM)技术和数字相机来实现AR效果的方法。首先将AR中的标记嵌入数字屏幕的媒体内;然后利用人眼识别感知与数字相机拍摄图像形成在数字屏幕或者投影仪上原理的差异,使用数... 详细信息

为了拓展增强现实(AR)的实用性,提出一种基于时间心理视觉调制(TPVM)技术和数字相机来实现AR效果的方法。首先将AR中的标记嵌入数字屏幕的媒体内;然后利用人眼识别感知与数字相机拍摄图像形成在数字屏幕或者投影仪上原理的差异,使用数字相机设备获取数字屏幕图像内人眼不易察觉的AR标记;最后在获取标记的智能设备中显示AR效果。仿真结果显示,将数字相机与TPVM技术相结合,能够很好地将AR标记隐藏在影像中,同时人眼无法察觉,而数字相机则能准确地识别AR标记并实现AR效果。通过手机替代3d眼镜等额外设备,降低了AR的使用限制,拓展其实用性。

关键词：增强现实时间心理视觉调制感知数字相机

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面向3d打印机的彩色三维模型成型技术

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成组技术与生产现代化 2017年第2期34卷 30-33页

作者：黄国胜徐欣江先志滕军田芬芳浙江理工大学机械与自动控制学院浙江杭州310018 浙江腾腾电气有限公司浙江温州325000

针对3d打印技术打印速度慢、打印精度低、不能多色打印等缺陷,研究3d打印机的STL文件载入和读取、基于OpenGL的模型显示、彩色图片像素采集以及基于RGB颜色空间的数据处理算法等技术,以便将数据转化成相应的G代码发送给下位机.

关键词：图像三维模型像素 RGB STL G代码

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Adversarial learning of structure-aware fully convolutional networks for landmark localization

arXiv

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arXiv 2017年

作者： Chen, Yu Shen, Chunhua Chen, Hao Wei, Xiu-Shen Liu, Lingqiao Yang, Jian Key Lab of Intelligent Perception and Systems High-Dimensional Information of Ministry of Education Jiangsu Key Lab of Image and Video Understanding for Social Security Nanjing University of Science and Technology School of Computer Science University of Adelaide Australian Centre for Robotic Vision Department of Computer Science and Technology Nanjing University

Landmark/pose estimation in single monocular images has received much effort in computer vision due to its important applications. It remains a challenging task when input images come with severe occlusions caused by, e.g., adverse camera views. Under such circumstances, biologically implausible pose predictions may be produced. In contrast, human vision is able to predict poses by exploiting geometric constraints of landmark point inter-connectivity. To address the problem, by incorporating priors about the structure of pose components, we propose a novel structure-aware fully convolutional network to implicitly take such priors into account during training of the deep network. Explicit learning of such constraints is typically challenging. Instead, inspired by how human identifies implausible poses, we design discriminators to distinguish the real poses from the fake ones (such as biologically implausible ones). If the pose generator G generates results that the discriminator fails to distinguish from real ones, the network successfully learns the priors. Training of the network follows the strategy of conditional Generative Adversarial Networks (GANs). The effectiveness of the proposed network is evaluated on three pose-related tasks: 2d human pose estimation, 2d facial landmark estimation and 3d human pose estimation. The proposed approach significantly outperforms several state-of-the-art methods and almost always generates plausible pose predictions, demonstrating the usefulness of implicit learning of structures using GANs. Copyright © 2017, The Authors. All rights reserved.

关键词： Generative adversarial networks

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基于点云和高清影像数据的文化遗产多分辨率三维重建

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测绘通报 2017年第10期 111-114,119页

作者：朱黎胡涛郑明辉湖北民族学院湖北恩施445000

以不同类型的文化遗产为研究对象,提出了基于点云和高清影像数据的文化遗产多分辨率三维重建方法。该方法首先阐述了基于三维点云和高清影像数据的文化遗产三维重建的流程,然后提出了一种基于地理位置的不同分辨率遗址文物模型融合与展... 详细信息

以不同类型的文化遗产为研究对象,提出了基于点云和高清影像数据的文化遗产多分辨率三维重建方法。该方法首先阐述了基于三维点云和高清影像数据的文化遗产三维重建的流程,然后提出了一种基于地理位置的不同分辨率遗址文物模型融合与展示方法。本文将该方法用于世界文化遗产——唐崖土司城遗址的虚拟展示,按照文物虚拟化方法精细重建了石人、石马、牌坊等文物模型,并且实现了文物模型和遗址模型的融合展示。

关键词：文化遗产数字化展示点云获取模型重建模型融合

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