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Underwater high-precision panoramic 3d image generation 8

Underwater high-precision panoramic 3D image generation

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8th International conference on digital Home, ICdH 2020

作者： Li, Zhaolun Lan, Rushi Chen, Zhuo Luo, Xiaonan Li, Ji Huang, Zhiyi Qian, Leiyi Guilin University of Electronic Technology School of Computer Science and Information Security Guilin541004 China National Engineering Research Center of Digital Life Guangzhou510004 China New York University New York United States Guilin Huigu Institute of Artificial Intelligence Industrial Technology Guilin541004 China National Local Joint Engineering Research Center of Satellite Navigation and Location Service Guilin University of Electronic Technology Guilin541004 China University of British Columbia Department of Mechanical Engineering Vancouver Canada

ISBN: (纸本)9781728192345

As an indispensable part of underwater intelligent operations, underwater unmanned system is an important research direction for consolidating China's ocean security, national defense security, and helping the country's great strategy of ' marine power '. Its environmental awareness and cognitive capabilities will become an understanding Fundamental and key issues of the ocean and the economic ocean. Existing systems have great deficiencies in underwater perception and detection capabilities, and they cannot all meet the requirements of operations in complex underwater changing environments. This article conducts technical research on the generation of underwater high-definition panoramic 3d data. Therefore, the distributed sonar and binocular vision hybrid system is used as the perception source, and the efficient data access strategy is adopted to update the weight of the corresponding voxel. The integrated low noise high dynamic range chip is used as the imaging terminal, and the underwater optical communication is used to complete many High-precision stereo vision measurement of scenes with point coordination and the generation of refined panoramic 3d data. © 2020 IEEE.

关键词： Stereo image processing

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Optimization of the ENTRANCE Rapidly Relocatable Tagged Neutron Inspection System

Optimization of the ENTRANCE Rapidly Relocatable Tagged Neut...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： C. de Sainte Foy B. Pérot C. Carasco A. Sardet S. Moretto F. Pino J. C. delgado A. Iovene CEA DES IRESNE DTN SMTA Nuclear Measurement Laboratory Saint-Paul-lez-Durance France Dipartimento di Fisica e Astronomia INFN di Padova Padova Italy Department of Physics Earth Science of University of Ferrara Ferrara Italy CAEN S.p.A Viareggio LU Italy

In the framework of the ENTRANCE project (H2020 program of the EU), the Rapidly Relocatable Tagged Neutron Inspection System (RRTNIS) developed in the previous C-BORd H2020 project is being optimized in order to improve the non-intrusive detection of explosives, narcotics, chemical threats, and other illicit goods in cargo containers. The RRTNIS is based on the associated particle technique, which allows, from gamma rays induced by fast neutrons, the identification of the elements constituting the inspected cargo materials in a selected region of interest in 3d. An algorithm unfolds the gamma energy spectrum of any suspicious area on a database of pure element signatures. In the ENTRANCE project, the RRTNIS has been reassembled at IRESNE Institute of CEA dES, in Cadarache research center, to improve the experimental setup in collaboration with the University of Padova. The improvements focus on background reduction and signal-to noise improvement based on a 3d selection of events. A new and upgraded database of pure element gamma signatures was also acquired and laboratory tests were performed placing simulants of explosives, illicit drugs and chemical elements inside wood and iron matrices. These data will be used to develop advanced data processing methods and material identification with Artificial Intelligence, in collaboration with CEA LIST.

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An improved method of corner point extraction used in grating projection phase measurement

An improved method of corner point extraction used in gratin...

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Applied Optics and Photonics China (AOPC) conference - Optical Sensing and Imaging Technology

作者： Ma, Chengtao Meng, Fanchang Guo, Yangkuan Li, Yajie Zhang, Zili Beijing Informat Sci & Technol Univ Beijing 100192 Peoples R China Chinese Acad Sci Inst Microelect Beijing 100094 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China

ISBN: (纸本)9781510639560

The grating projection phase measurement method can obtain 3d surface profile of an object with a grating projection device and two cameras, which is widely used in reverse engineering, industrial detection, cultural relic digitization and human body measurement due to its simple measuring principle, convenient operation, fast and high-precision data acquisition of 3d point clouds. As one of its calibration processes, binocular vision calibration plays a key role in getting high-precision measurement results, and the accuracy of extracting feature points on the calibration target directly affects the binocular calibration accuracy. In this paper, a sub-pixel corner extraction method based on Shi- Tomasi algorithm was proposed to extract corner points of checkerboard. An experiment is done to compare the extraction effect of the proposed algorithm with the traditional Harris method. The experimental results show that the proposed algorithm can locate the position of corner points more effectively with higher extraction accuracy. The mean square value of the reprojection error is about 0.008 pixels, the rate of corner extraction is 74.6%, and the processing time is shorter, about 0.78 seconds. Therefore, the method used in this paper is reliable and feasible for the feature point extraction in 3d reconstruction of measured objects.

关键词： grating projection binocular vision calibration Shi-Tomasi algorithm subpixel corner extraction

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3d microscopic imaging using structure-from-motion

3D microscopic imaging using structure-from-motion

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2019 3d Image measurement and data processing conference, 3dmp 2019

作者： Traxler, Lukas Štolc, Svorad AIT Austrian Institute of Technology Vienna Austria

This work experimentally demonstrates inline 3d imaging using Structure-from-Motion in microscopic domain. Several microscopic 3d inspection systems exist. A popular method for standard microscopes is depth-from-Focus reconstruction, which makes use of the shallow depth of field of microscope optics. It requires several scans acquired at different distances of the object along the optical axis. This and other 3d reconstruction methods based on a scanning process are not suitable for fast inline inspection if the scanning direction does not match the object's transport direction. In this paper we propose a modification to standard microscope optics, which allows for Structure-from-Motion in microscopic domain, by including an additional aperture. The choice of aperture opening and location is crucial to reach the desired lateral and depth resolution. This paper investigates the optimal choice for these parameters to match a desired application, in this case the inspection of a metallic surface with 4 µm resolution in all three dimensions. The choice based on theoretical considerations is successfully tested in an experimental setup. Results are compared with a reference measurement from confocal microscopy. © 2019, Society for Imaging Science and Technology

关键词： Scanning

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3d-SAR processing of UAV-mounted GPR measurements: dealing with Non-Uniform Sampling 14

3D-SAR Processing of UAV-mounted GPR Measurements: Dealing w...

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14th European conference on Antennas and Propagation, EuCAP 2020

作者： Garcia-Fernandez, M. Alvarez-Lopez, Y. Heras, F. Las University of Oviedo Group of Signal Theory and Communications Gijón Spain

ISBN: (数字)9788831299008

ISBN: (纸本)9788831299008

This contribution is devoted to analyze the effect caused by non-uniform sampling and to present a technique for dealing with this issue in a system composed by a Ground Penetrating Radar (GPR) mounted on board an Unmanned Aerial Vehicle (UAV). Radar measurements are accurately geo-referred in order to enable the use of Synthetic Aperture Radar (SAR) techniques. The adopted SAR technique must be able to handle measurements gathered at arbitrary positions. In addition, the positioning data must be also carefully processed to cope with non-uniform sampling and flight deviation issues. A method based on defining a set of conditions that a measurement position must satisfy to be selected for processing has been proposed. Comparing the resulting 3d radar images retrieved from measurements gathered during autonomous flights, both the image artifacts and the computational time are significantly decreased, showing the feasibility of the proposed technique to overcome non-uniform sampling issues. © 2020 EurAAP.

关键词： Synthetic aperture radar

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Holo reality: Real-time, low-bandwidth 3d range video communications on consumer mobile devices with application to augmented reality

Holo reality: Real-time, low-bandwidth 3D range video commun...

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2019 3d Image measurement and data processing conference, 3dmp 2019

作者： Bell, Tyler Zhang, Song Department of Electrical and Computer Engineering University of Iowa Iowa CityIA52242 United States School of Mechanical Engineering Purdue University West LafayetteIN47907 United States

An increasing number of mobile devices are equipped to acquire 3d range data along with color texture (e.g., iPhone X). As these devices are adopted, more people will have direct access to 3d imaging devices, bringing advanced applications, such as mobile 3d video calls and remote 3d telemedicine, within reach. This paper introduces Holo Reality, a novel platform that enables real-time, wireless 3d video communications to and from today's mobile (e.g., iPhone, iPad) devices. The major contributions are (1) a modular platform for performing 3d video acquisition, encoding, compression, transmission, decompression, and visualization entirely on consumer mobile devices and (2) a demonstration system that successfully delivered 3d video content from one mobile device to another, in real-time, over standard wireless networks. Our demonstration system uses augmented reality to visualize received 3d video content within the user's natural environment, highlighting the platform's potential to enable advanced applications for telepresence and telecollaboration. This technology also has the potential to realize new applications within areas such as mechatronics and telemedicine. © 2019, Society for Imaging Science and Technology

关键词： Smartphones

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Automatic Segmentation of 3d Ultrasound Spine Curvature Using Convolutional Neural Network 42

Automatic Segmentation of 3D Ultrasound Spine Curvature Usin...

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42nd Annual International conference of the IEEE-Engineering-in-Medicine-and-Biology-Society (EMBC)

作者： Banerjee, Sunetra Ling, Sai Ho Lyu, Juan Su, Steven Zheng, Yong-Ping Univ Technol Sydney Sch Biomed Engn Sydney NSW Australia Harbin Engn Univ Coll Informat & Commun Engn Harbin Peoples R China Hong Kong Polytech Univ Dept Biomed Engn Hong Kong Peoples R China

ISBN: (数字)9781728119908

ISBN: (纸本)9781728119908

Scoliosis is a 3d spinal deformation where the spine takes a lateral curvature, which generates an angle in a coronal plane. For periodic detection of scoliosis, safe and economic imaging modality is needed as continuous exposure to radiative imaging may cause cancer. 3d ultrasound imaging is a cost-effective and radiation-free imaging modality which gives volume projection image. Identification of mid-spine line using manual, semi-automatic and automatic methods have been published. Still, there are some difficulties like variations in human measurement, slow processing of data associated with them. In this paper, we propose an unsupervised ground truth generation and automatic spine curvature segmentation using U-Net. This approach of the application of Convolutional Neural Network on ultrasound spine image, to perform automatic detection of scoliosis, is a novel one.

关键词： Scoliosis Segmentation Ultrasound imaging Convolutional Neural Network

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3d Feature detector-descriptor Pair Evaluation on Point Clouds

3D Feature Detector-Descriptor Pair Evaluation on Point Clou...

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European Signal processing conference (EUSIPCO)

作者： Paula Stancelova Elena Sikudova Zuzana Cernekova Faculty of Mathematics Physics and Informatics Comenius University in Bratislava Slovakia Faculty of Mathematics and Physics Charles University Prague Czech Republic

ISBN: (数字)9789082797053

ISBN: (纸本)9781728150017

In recent years, computer vision research has focused on extracting features from 3d data. In this work, we reviewed methods of extracting local features from objects represented in the form of point clouds. The goal of the work was to make theoretical overview and evaluation of selected point cloud detectors and descriptors. We performed an experimental assessment of the repeatability and computational efficiency of individual methods using the well known Stanford 3d Scanning Repository database with the aim of identifying a method which is computationally-efficient in finding good corresponding points between two point clouds. We also compared the efficiency of detector-descriptor pairing showing that the choice of a descriptor affects the performance of the object recognition based on the descriptor matching. We summarized the results into graphs and described them with respect to the individual tested properties of the methods.

关键词： Three-dimensional displays detectors Signal processing Feature extraction Time measurement Computational efficiency Object recognition

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Instrument and Method for Measuring Ice Accretion in Mixed-Phase Cloud Conditions

Instrument and Method for Measuring Ice Accretion in Mixed-P...

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2020 International Instrumentation and measurement Technology conference

作者： Molkoselka, Eero Kaikkonen, Ville Makynen, Anssi Univ Oulu Optoelect & Measurement Tech Unit Oulu Finland Univ Oulu Unit Measurement Technol Kajaani Finland

ISBN: (纸本)9781728144610;9781728144603

The ICEMET-sensor is a novel cloud droplet and particle imaging instrument which measures icing conditions by determining the number and sizes of the supercooled droplets in a known air volume. The sensor captures digital holograms from 0.5 cm(3) sample volume with a maximum rate of 3.0 cm(3)/s. This lensless imaging instrument uses a computational imaging method to reconstruct the shadow images of the objects in the measurement volume. The size, position and shape descriptors of the individual particles and droplets are calculated and saved into a database. This data can be used to separate between cloud droplets and other particles. The calculated features are used to determine the two essential parameters needed for ice accretion modeling according to the ISO 12494 icing standard: liquid water content (LWC) of the air and median volume diameter (MVd) of the droplets. The basic working principle of the sensor and the image processing method are described. The performance of the sensor was tested in a wind tunnel under mixed-phase icing conditions. The measured LWC and MVd values were used to model ice accretion using the ISO 12494 icing standard for rotating cylinders. The modeled ice accretions were compared with weighed ice masses obtained from the wind tunnel with the same sized cylinder. The results show that accurate droplet size measurement and separation between droplets and ice crystals are essential for estimating the ice accretion rate properly. Without filtering out the ice crystals, the calculated accretion rates were overestimated by 65.6 % on average.

关键词： Atmospheric measurements cloud droplets digital holography ice accretion ice crystals icing image analysis LWC MVd

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1st International Workshop in memory of Prof. Raffaele Santamaria on R3 in Geomatics: Research, Results and Review, R3GEO 2019

1st International Workshop in memory of Prof. Raffaele Santa...

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1st International Workshop in memory of Prof. Raffaele Santamaria on R3 in Geomatics: Research, Results and Review, R3GEO 2019

ISBN: (纸本)9783030627997

The proceedings contain 29 papers. The special focus in this conference is on R3 in Geomatics: Research, Results and Review. The topics include: A Comparison of Indoor Positioning Approaches with UWB, IMU, WiFi and Magnetic Fingerprinting;Sea Tide Analysis derived by PPP Kinematic GPS data Acquired at david-drygalski Floating Ice Tongue (Antarctica);a Procedure to Obtain a 3d Model in Bim and Structural Analysis Software;integration of Laser Scanning and Photogrammetry in Architecture Survey. Open Issue in Geomatics and Attention to details;integration and Assessment Between 3d data from different Geomatics Techniques. Case Study: The Ancient City Walls of San Ginesio (Italy);dynamic measurement of Water Waves in a Wave Channel Based on Low-Cost Photogrammetry: description of the System and First Results;3-d Survey of Rocky Structures: The dolomitic Spire of the Gusela del Vescovà;a Python Customization of Metashape for Quasi Real-Time Photogrammetry in Precision Agriculture Application;innovative Technologies for Coastal Paleo-Landscape Reconstruction and Paleo-Sea Level Measuring;Statistical Comparison Between different Approaches to GNSS Single-Frequency data processing for Meteorological Applications;Handheld 3d Mobile Scanner (SLAM): data Simulation and Acquisition for BIM Modelling;processing of 3d Models for Networking of CH in Geomatics;Use of Non-professional UAV Video Sequences for the 3d Modelling of Archaeological Sites by SfM Techniques;refractory Brick Lining measurement and Monitoring in a Rotary Kiln with Terrestrial Laser Scanning;Morphological Evolution of Somma-Vesuvio during the Last Century: Integration Between Historical Maps and Airborne LidAR Survey;coastline Extraction from Optical Satellite Imagery and Accuracy Evaluation.

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