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检索条件"任意字段=2019 3D Image Measurement and Data Processing Conference, 3DMP 2019"

共 67 条记录，以下是21-30 订阅

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Real-Time 3d volumetric human body reconstruction from a single view RGB-d capture device

Real-Time 3D volumetric human body reconstruction from a sin...

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

作者： diniz, Rafael Farias, Mylène C.Q. Department of Computer Science University of Brasília Brasília Brazil Department of Electrical Engineering University of Brasília Brasília Brazil

Recently, volumetric video based communications have gained a lot of attention, especially due to the emergence of devices that can capture scenes with 3d spatial information and display mixed reality environments. Nevertheless, capturing the world in 3d is not an easy task, with capture systems being usually composed by arrays of image sensors, which sometimes are paired with depth sensors. Unfortunately, these arrays are not easy to assembly and calibrate by non-specialists, making their use in volumetric video applications a challenge. Additionally, the cost of these systems is still high, which limits their popularity in mainstream communication applications. This work proposes a system that provides a way to reconstruct the head of a human speaker from single view frames captured using a single RGB-d camera (e.g. Microsoft's Kinect 2 device). The proposed system generates volumetric video frames with a minimum number of occluded and missing areas. To achieve a good quality, the system prioritizes the data corresponding to the participants' face, therefore preserving important information from speakers facial expressions. Our ultimate goal is to design an inexpensive system that can be used in volumetric video telepresence applications and even on volumetric video talk-shows broadcasting applications. © 2019, Society for Imaging Science and Technology

关键词： display devices

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Accurate Volume measurement of Road potholes Based on 3d Point Clouds 12

Accurate Volume Measurement of Road potholes Based on 3D Poi...

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12th International conference on digital image processing (ICdIP)

作者： Xu, Mingming Zhou, Zuofeng Wu, Qingquan Huang, Huimin du, Ying Cao, Jianzhong Hu, Guoliang Chinese Acad Sci Xian Inst Opt & Precis Mech Xinxi Rd Xian 710119 Peoples R China Univ Chinese Acad Sci Beijing 100049 Peoples R China Key & Core Technol Innovat Inst Greater Bay Area Guangzhou 510670 Peoples R China

ISBN: (纸本)9781510638464

In the daily driving process, road potholes pose a great threat to traffic safety. However, the actual road potholes are often irregular and the background is complex. So, it is difficult to accurately measure the volume of potholes. In this paper, a method for measuring the volume of road potholes based on three-dimensional point clouds is presented. First, binocular vision is used to obtain 3d point cloud data of the pothole, and the segmented pothole point clouds are projected onto the coordinate plane established by the road surface. Then, we triangulate projection points on the coordinate plane. Finally, restore these points to the true elevation points to generate triangular prism, and calculate the volume of a single triangular prism one by one. The accuracy and effectiveness of this algorithm are verified by experiments.

关键词： volume calculation three-dimensional coordinates of cloud point triangular prism

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5th Asian conference on Pattern Recognition,ACPR 2019

5th Asian Conference on Pattern Recognition,ACPR 2019

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5th Asian conference on Pattern Recognition,ACPR 2019

ISBN: (纸本)9789811536502

The proceedings contain 23 papers. The special focus in this conference is on Pattern Recognition. The topics include: vi-MoCoGAN: A Variant of MoCoGAN for Video Generation of Human Hand Gestures Under different Viewpoints;weakly Supervised domain Adaptation with Point Supervision in Histopathological image Segmentation;blood Vessel Enhancement in Liver Region from a Sequence of Angiograms Taken under Free Breathing;real-Time Morphing of the Visible Man Liver with Intrahepatic Vasculatures;development of 3d Physiological Simulation and Education Software for Pregnant Women;resolution Conversion of Volumetric Array data for Multimodal Medical image Analysis;learning Spatiotemporal Representation Based on 3d Autoencoder for Anomaly detection;multi-view discriminant Analysis for dynamic Hand Gesture Recognition;human Action Recognition Based on dual Correlation Network;Bypass Enhancement RGB Stream Model for Pedestrian Action Recognition of Autonomous Vehicles;feature Engineering Workflow for Activity Recognition from Synchronized Inertial measurement Units;Infrared-image processing for the dLR FireBIRd Mission;temperature dependence of dark Signal for Sentinel-4 detector;an Extended Stochastic Cloning Method for Fusing Multi-relative measurements;paved and Unpaved Road Segmentation Using deep Neural Network;image Scene Conversion Algorithm Based on Generative Adversarial Networks;An Embedded Real-Time Monocular SLAM System Utilizing a dynamically Reconfigurable Processor;writer Identification Based on Combination of Bag of Words Model and Multiple Classifiers;vehicle-Related Scene Understanding Using deep Learning;spatiotemporal Saliency Based Multi-stream Networks for Action Recognition;attention Guided Unsupervised image-to-image Translation with Progressively Growing Strategy.

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COMPARATIVE ANALYSIS OF 3d SHAPE RECOGNITION IN THE PRESENCE OF data INACCURACIES 26

COMPARATIVE ANALYSIS OF 3D SHAPE RECOGNITION IN THE PRESENCE...

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26th IEEE International conference on image processing (ICIP)

作者： Mukhaimar, Ayman Tennakoon, Ruwan Lai, Chow Yin Hoseinnezhad, Reza Bab-Hadiashar, Alireza RMIT Univ Sch Engn Melbourne Vic Australia

ISBN: (纸本)9781538662496

Classification of 3d shapes into physically meaningful categories is one of the most important tasks in understanding the immediate environment. Methods that leverage the recent advancements in deep learning have shown to outperform the traditional approaches. However, performances of those methods have only been analyzed with relatively clean data. Three-dimensional measurement sets (point clouds) produced by 3d scanners are rarely that accurate and often contain noise, outliers or missing points. This paper presents an extensive analysis of the robustness of the state-of-the-art neural network algorithms to realistic data inaccuracies. Our experiments show that the existence of these inaccuracies can significantly affect the performance of the deep learning-based algorithms.

关键词： 3d classification neural networks point cloud classification robust 3d classification

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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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3d Reconstruction Method of Waterfront Recreational Landscape Space Based on Artificial Intelligence and Fuzzy Algorithms

3D Reconstruction Method of Waterfront Recreational Landscap...

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International conference on data processing Techniques and Applications for Cyber-Physical Systems, dPTA 2019

作者： Cao, Yang Haikou College of Economics HaikoHainan571127 China

ISBN: (纸本)9789811514678

The paper proposes a method of building three-dimensional landscape entity model based on digital measurement. First, we use the relationship between the three-dimensional landscape images to build a rendezvous model, then get the coordinates of the landscape points systematically. Third, we calculate the translation and rotation relationship between the camera coordinate system and the world coordinate system and correct the distorted image points. Finally, we use the corrected three-dimensional coordinate points to realize the three-dimensional landscape entity model. The experimental results show that the proposed model has the characteristics of high accuracy and fast speed, which provides a feasible basis for the construction of digital. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Artificial intelligence

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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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The Weld Extraction Algorithm for Robotic Arc Welding Based on 3d Laser Sensor 31

The Weld Extraction Algorithm for Robotic Arc Welding Based ...

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31st Chinese Control And decision conference (CCdC)

作者： Wu, Peilin Gan, Yahui dai, Xianzhong Southeast Univ Nanjing 210096 Peoples R China Minist Educ Key Lab Measurement & Control Complex Syst Engn Nanjing 210096 Peoples R China

ISBN: (纸本)9781728101057

A weld extraction algorithm combining 2d image and 3d point cloud data is proposed in this paper, based on 3d laser sensor and a six-dOF industrial robot. Firstly, 3d point cloud data and 2d depth image can be obtained through the 3d laser sensor. Secondly, the weld feature points can be extracted while the weld can be accurately positioned, using 2d image processing method. Thirdly, the 3d weld information can be extracted by 2d weld mapping to 3d space through certain rules. Finally, the feasibility of the proposed algorithm is verified by experiments. The results strongly prove that the algorithm can be used to obtain the 3d weld information of type 1 weld in the bicycle frame, which completely meets the needs of industrial production.

关键词： Weld extraction 2d image processing 3d point cloud Bicycle frame

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2nd International conference on Human Systems Engineering and design: Future Trends and Applications, IHSEd 2019

2nd International Conference on Human Systems Engineering an...

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2nd International conference on Human Systems Engineering and design: Future Trends and Applications, IHSEd 2019

ISBN: (纸本)9783030279271

The proceedings contain 162 papers. The special focus in this conference is on Human Systems Engineering and design: Future Trends and Applications. The topics include: Lean and Ergonomics Competencies: Knowledge and Applications;preprocessing Information from a data Network for the detection of User Behavior Patterns;designing an e-Coach to Tailor Training Plans for Road Cyclists;half Scale dress Forms from 3d Body Scans in Active Poses;a Comparison of Heart Rate in Normal Physical Activity vs. Immersive Virtual Reality Exergames;the Impact of Ergonomic design on Smart Garments;user Centered design of a Pill dispenser for the Elderly;The Importance of ICT and Wearable devices in Monitoring the Health Status of Coronary Patients;improvement of a Monitoring System for Preventing Elderly Fall down from a Bed;ergonomic design Process of the Shape of a diagnostic Ultrasound Probe;autonomous Learning Mediated by digital Technology Processes in Higher Education: A Systematic Review;discussion on the Effect of Bedding on Sleep Postures;design Culture Within the B2B Needs Roadmap;masticatory Evaluation in Non-contact measurement of Chewing Movement;satisfaction of Aged Users with Mobility Assistive devices: A Preliminary Study of Conventional Walkers;effect of Added Mass Location on Manual Wheelchair Propulsion Forces;Exploration of TCM Health Service Mode in the Context of Aging Society;standardized Research of Clinical diagnosis and Treatment data of Epilepsy;experience design: A Tool to Improve a Child’s Experience in the Use of Vesical Catheters;human Aspects in Product and Service development;potential of Industrial image processing in Manual Assembly.

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Barrier detection and Tracking from Parameterized Lidar data 18

Barrier Detection and Tracking from Parameterized Lidar Data

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International Normal Labour and Birth Research conference

作者： Xing, Wen Zhu, Lifeng Song, Aiguo Southeast Univ Sch Instrument Sci & Engn Jiangsu Key Lab Remote Measurement & Control State Key Lab Bioelect Nanjing 210096 Peoples R China

ISBN: (纸本)9781728147659

Barrier detection and tracking is a key technique in augmented reality(AR). By adding up the sense of objects, users are able to safely observe or avoid moving objects in the view. With the development of 3d Lidar technology, the acquisition of 3d points in the scene is getting more efficient. In comparison with image data, the 3d points from Lidar contain reliable depth information in a large range. However, processing unstructured point cloud is less efficient for augmented reality applications. By noticing the structure of the 3d points captured from Lidar, we propose to parameterize the data from Lidar. In this way, we are able to reuse detection and tracking methods from images for a simple solution in barrier detection and tracking from Lidar data. We test our method by using the Lidar data captured from an unmanned ship. The results show that our method can quickly detect the barriers with bounding boxes, indicating the distance, direction and size of the barrier in the scene.

关键词： Barrier detection Lidar Tracking

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