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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11-20 订阅

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3d measurement and data processing 2020

3D Measurement and Data Processing 2020

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2020 3d measurement and data processing conference, 3dmp 2020

The proceedings contain 283 papers. The topics discussed include: a new training model for object detection in aerial images;managing crops across spatial and temporal scales - the roles of UAS and satellite remote sensing;a gaze-contingent system for foveated multiresolution visualization of vector and volumetric data;capturing and 3d rendering of optical behavior: the physical approach to realism;tereoscopic 3d optic flow distortions caused by mismatches between image acquisition and display parameters (JIST-first);active shooter response training environment for a building evacuation in a collaborative virtual environment;learning a CNN on multiple sclerosis lesion segmentation with self-supervision;reducing invertible embedding distortion using graph matching model;creating high-resolution 360-degree single-line 25k video content for modern conference rooms using film compositing techniques;spectral reproduction: drivers, use cases and workflow;SPECTRANET: a deep model for skin oxygenation measurement from multi-spectral data;automotive image quality concepts for the next SAE levels: color separation and contrast detection probability;a 4-tap global shutter pixel with enhanced IR sensitivity for VGA time-of-flight CMOS image sensors;small object bird detection in infrared drone videos using mask R-CNN deep learning;real-world fence removal from a single-image via deep neural network;and perceptual quality assessment of enhanced images using a crowd-sourcing framework.

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Validation of Vehicle detection and distance measurement Method using Virtual Vehicle Approach 12

Validation of Vehicle Detection and Distance Measurement Met...

引用

12th International conference on Graphics and image processing (ICGIP)

作者： du, Lan Lyu, Taida Zhu, Huijuan Wang, Xiaoqi Nanjing Univ Sci & Technol ZiJin Coll Nanjing 210023 Peoples R China

ISBN: (纸本)9781510642782;9781510642775

By the end of 2019, the total number of motor vehicles in China had reached 340 million, of which 250 million were cars. In order to reduce the occurrence of road traffic accidents, more and more automobile manufacturers have begun to develop vehicle-mounted image-assisted driving technology based on dashcam. The most important part of the collision avoidance system is its visual recognition and ranging. Therefore, it is of great significance to study the range finder system based on vision. This paper builds a 3d simulation simulator based on Unreal Engine and uses specific data sets to test and verify various classic algorithms of vision-based identification and ranging. According to different operating conditions, the advantages and disadvantages of each algorithm are listed and summarized, and the limitations of their application are pointed out. As for the detection part, this paper conducts experimental verification on SVM+HOG and LBP+Cascade detection algorithms to obtain their recognition accuracy, positioning accuracy and calculation time information, and analyzes their advantages and disadvantages. As for the ranging part, this paper conducts ranging tests on monocular and binocular ranging algorithms, obtains ranging errors at different positions and analyzes the advantages and disadvantages of different algorithms. Experimental results show that the monocular distance requires a more accurate identification frame than the binocular distance measurement. Binocular distance measurement can measure the distance information of the target more quickly and accurately when the identification frame is very small.

关键词： Computer vision Object detection distance measurement Vitrual vehicle simulation systems Virtual reality

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Simultaneous Localization and Mapping Algorithm based on 3d Laser for Unmanned Aerial Vehicle 4th

Simultaneous Localization and Mapping Algorithm based on 3D ...

引用

4th International conference on Electrical Engineering and Control Applications, ICEECA 2019

作者： demim, Fethi Nemra, Abdelkrim Mouali, Oumima Hedir, Mehdia Rouigueb, Abdenebi Hamerlain, Mustapha Bendoumi, Mohamed Amine Bazoula, Abdelouahab Laboratoire des Véhicules Autonomes Intelligents Ecole Militaire Polytechnique EMP Bordj El Bahri Algiers Algeria Faculté des Sciences Mathématiques Physiques et Naturelles Université del Manar Tunis Tunisia Image Processing and Radiation Laboratory Faculty of Electronic and Informatics USTHB Bab Ezzouar Algiers Algeria Data Fusion and Analysis Laboratory Ecole Militaire Polytechnique EMP Bordj El Bahri Algiers Algeria Centre de Développement des Technologie Avancées CDTA Baba Hassen Algeria

ISBN: (纸本)9789811564024

This paper focuses on developing a robust solution for the Simultaneous Localization and Mapping (SLAM) problem to increase the autonomy of Unmanned Aerial Vehicles (UAV). The investigated topics are related to data fusion, localization, features extraction and matching, map building, 3d pose estimation and SLAM. One important aspect of the autonomous navigation which should be investigated as well as the fusion of data from the different sensor. The data fusion algorithms are very important and their performances are closely dependent on both performances of the constructed map and the accuracy of the UAV position within this map. Optimal and robust filter using centred Gaussian noises is implemented. The original contribution of this work is the proposition and the adaptation of the Extended Kalman Filter (EKF) to solve the Inertial Navigation Systems INS/3d laser UAV navigation problem. Simulation results for 3d flight scenario are presented to demonstrate the advantages of the hybrid localization based on EKF compared with results of the INS relative localization based technique. Good results were obtained with the EKF using noise process and/or measurement noise characteristics, particularly in the case of centred Gaussian noises. © 2021, Springer Nature Singapore Pte Ltd.

关键词： Unmanned aerial vehicles (UAV)

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Modified M-estimation for fast global registration of 3d point clouds

Modified M-estimation for fast global registration of 3D poi...

引用

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

作者： Azhar, Faisal Stephen Pollard and Guy Adams HP Labs Bristol United Kingdom

We present a modified M-estimation based method for fast global 3d point cloud registration which rapidly converges to an optimal solution while matching or exceeding the accuracy of existing global registration *** key idea of our work is to introduce weighted median based M-estimation for re-weighted least squares adeployed in a graduated fashion which takes into account the error distribution of the residuals to achieve rapid convergence to an optimal solution. The experimental results on synthetic and real data sets show the significantly improved convergence of our method with a comparable accuracy with respect to the state-of-the-art global registration methods. © 2019, Society for Imaging Science and Technology

关键词： Optimal systems

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Learning a CNN on multiple sclerosis lesion segmentation with self-supervision.

Learning a CNN on multiple sclerosis lesion segmentation wit...

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2020 3d measurement and data processing conference, 3dmp 2020

作者： Fenneteau, Alexandre Bourdon, Pascal Helbert, david Fernandez-Maloigne, Christine Habas, Christophe Guillevin, Remy Neuroimaging Department Quinze Vingts Hospital Paris France XLIM Laboratory University of Poitiers UMR CNRS 7252 Poitiers France I3M Common Laboratory CNRS-Siemens University and Hospital of Poitiers Poitiers France Poitiers University Hospital CHU Poitiers France DACTIM-MIS/LMA Laboratory University of Poitiers UMR CNRS 7348 Poitiers France

Multiple Sclerosis (MS) is a chronic, often disabling, autoimmune disease affecting the central nervous system and characterized by demyelination and neuropathic alterations. Magnetic Resonance (MR) images plays a pivotal role in the diagnosis and the screening of MS. MR images identify and localize demyelinating lesions (or plaques) and possible associated atrophic lesions whose MR aspect is in relation with the evolution of the disease. We propose a novel MS lesions segmentation method for MR images, based on Convolutional Neural Networks (CNNs) and partial self-supervision and studied the pros and cons of using self-supervision for the current segmentation task. Investigating the transferability by freezing the firsts convolutional layers, we discovered that improvements are obtained when the CNN is retrained from the first layers. We believe such results suggest that MRI segmentation is a singular task needing high level analysis from the very first stages of the vision process, as opposed to vision tasks aimed at day-to-day life such as face recognition or traffic sign classification. The evaluation of segmentation quality has been performed on full image size binary maps assembled from predictions on image patches from an unseen database. © This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://***/licenses/by/4.0/.

关键词： Magnetic resonance

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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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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...

引用

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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3d image measurement and data processing 2019

3D Image Measurement and Data Processing 2019

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

The proceedings contain 269 papers. The topics discussed include: high-speed multiview 3d structured light imaging technique;integration of advanced stereo obstacle detection with perspectively correct surround views;recreating Van Gogh's original colors on museum displays;modeling long range features from serial section imagery of continuous fiber reinforced composites;the quality of stereo disparity in the polar regions of a stereo panorama;do different radiologists perceive medical images the same way? some insights from representational similarity analysis;the intersection of artificial intelligence and augmented reality;self-calibrated surface acquisition for integrated positioning verification in medical applications;gradient management and algebraic reconstruction for single image super resolution;segmentation-based detection of local defects on printed pages;automated optical inspection for abnormal-shaped packages;towards combining domain knowledge and deep learning for computational imaging;a 360-degrees holographic true 3d display unit using a Fresnel phase plate;and visual analytic process to familiarize the average person with ways to apply machine learning.

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Crotch detection on 3d optical scans of human subjects

Crotch detection on 3D optical scans of human subjects

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

作者： Sobhiyeh, Sima dunkel, Alexander dechenaud, Marcelline Kennedy, Samantha Shepherd, John Heymsfield, Steven Wolenski, Peter Department of Metabolism and Body Composition Pennington Biomedical Research Center Baton RougeLA United States School of Mathematics Louisiana State University Baton RougeLA United States Department of Radiology and Biomedical Imaging University of California San FranciscoCA United States

Three-dimensional optical devices are relatively inexpensive and can rapidly acquire body surface scans. Therefore, they can be used as an efficient tool for automatically obtaining landmarks and anthropometric measurements. In this study, we develop an algorithm called deCIMA (detecting the Crotch In Mesh Analysis). deCIMA automatically finds the crotch, as one of the fundamental landmarks on 3d human optical scans. deCIMA presents a solution for finding the crotch-location even in challenging cases where the subjects' thighs are connected. We test deCIMA on 225 scans obtained from 75 human subjects using three different scanners. We compare the crotch height obtained by deCIMA with the crotch height reported by the proprietary software of the 3d optical scanners. Results show that deCIMA improves crotch detection and can correctly detect the crotch even for subjects with connected upper thighs. © 2019 Society for Imaging Science and Technology. All rights reserved.

关键词： Anthropometry

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4d scanning system for measurement of human body in motion

4D scanning system for measurement of human body in motion

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

作者： Sitnik, Robert Nowak, Marta Liberadzki, Pawel Michoński, Jakub Institute of Micromechanics and Photonics Faculty of Mechatronics Warsaw University of Technology A. Boboli 8 Warsaw02-525 Poland

In this paper we propose 4dBOdY system which realizes full body 4d scanning of human in motion. It consists eight measurement heads based on single frame structured light method. All heads works synchronously with frequency 120 Hz with spectral separation to eliminate crosstalk. Single frame method is based on projection of sinusoidal fringe pattern with special marker allowing for absolute phase reconstruction. We develop custom made unwrapping procedure adjusted for human body analysis. We could achieve 0.5 mm spatial resolution and 0.3 mm of accuracy within a 1.5 x 1.5 x 2.0 m3 working volume. We integrated treadmill into system which allows to perform walking experiments. We present some results of measurements with initial validation of 4dBOdY system. © 2019, Society for Imaging Science and Technology

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