Mr. Maciej Karaszewski Profile

Maciej Karaszewski

Researcher at Warsaw Univ of Technology

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Publications (6)

Proceedings Article | 7 September 2018 Paper

The method of acquiring and processing 3D data from drones

J. Rutkiewicz, M. Malesa, M. Karaszewski, P. Foryś, P. Siekański, R. Sitnik

Proceedings Volume 10834, 1083425 (2018) https://doi.org/10.1117/12.2319717

KEYWORDS: Cameras, Clouds, LIDAR, 3D image processing, Data processing, 3D metrology, 3D acquisition, Infrared cameras, Data acquisition

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Rapid development of machine learning techniques opens new application fields for Unmanned Aerial Vehicles technology, which include detection and classification of objects. It is possible to detect buildings, vehicles or various objects present near pipelines and industrial buildings. In some cases, such as monitoring of the critical infrastructure, accuracy of the detection is crucial. 2D data classification enables detecting an object and determining its basic parameters. 3D data, that can be obtained from drones, supplement 2D data, and can significantly increase the accuracy of detection and classification of objects. It also bares additional information and can simplify determination of dimensions of already classified objects. Furthermore, some objects, difficult for classification using 2D images, can be easily classified with 3D data. Such objects are for example: excavations in the ground, objects partially overshadowed by trees or fully covered by dried leaves. 3D data collected by drones is typically obtained with SfM (Structure from Motion) and Lidar (Light Detection and Ranging) methods. SfM provides three-dimensional data from the photos that have been collected for 2D analysis. The advantage of this method is high quality texture. The main problem is that this method is not useful for night flights due to lack of feature points on images. Lidar is a laser measurement method using data on the time of flight of a laser beam reflected from an obstacle (object). It allows to obtain 3D data in all light conditions. However, collected data does not have color information. The combination of both methods will provide dense and accurate point clouds with texture, which can be consequently used for detection and classification of objects. In this paper a pipeline for acquisition, merging and processing of 3D data gathered by drones is presented. The first step is to obtain assembled point clouds from Lidar in one coordinate system using GPS data. Then Lidar point cloud is integrated with SfM point clouds. 3D data generated this way also includes coordinates of camera in the moments when SfM photos were collected. The full 3D model of monitored area containing GPS coordinates and positions of camera may be used to simplify configuration of a supplementary flight in order to measure places where no measurement data was obtained or the density of point cloud was too low. Having a point cloud of the reconstructed object prepared in such way, it is possible to compare point clouds, features extracted from point clouds and geometry of already classified objects over time.

Proceedings Article | 30 May 2013 Paper

Automated full-3D digitization system for documentation of paintings

Maciej Karaszewski, Marcin Adamczyk, Robert Sitnik, Jakub Michoński, Wojciech Załuski, Eryk Bunsch, Paweł Bolewicki

Proceedings Volume 8790, 87900X (2013) https://doi.org/10.1117/12.2020447

KEYWORDS: Head, 3D modeling, Projection systems, 3D metrology, Visualization, Servomechanisms, Cameras, Prototyping, Ultraviolet radiation, Calibration

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Proceedings Article | 4 February 2010 Paper

Automation of 3D scan data capturing and processing

Robert Sitnik, Maciej Karaszewski, Wojciech Załuski, Jan Rutkiewicz

Proceedings Volume 7526, 75260Y (2010) https://doi.org/10.1117/12.839189

KEYWORDS: Head, Scanners, Clouds, Calibration, 3D metrology, 3D scanning, Data processing, 3D modeling, Data modeling, Kinematics

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Proceedings Article | 8 July 2009 Paper

Automated full-3D shape measurement of cultural heritage objects

Robert Sitnik, Maciej Karaszewski, Wojciech Zaluski, Pawel Bolewicki

Proceedings Volume 7391, 73910K (2009) https://doi.org/10.1117/12.828004

KEYWORDS: Scanners, Head, Clouds, Calibration, Cultural heritage, 3D metrology, Kinematics, Data modeling, Robotic systems, Structured light

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Proceedings Article | 17 June 2009 Paper

Remote online monitoring and measuring system for civil engineering structures

Malgorzata Kujawińska, Robert Sitnik, Grzegorz Dymny, Maciej Karaszewski, Kuba Michoński, Jakub Krzesłowski, Krzysztof Mularczyk, Paweł Bolewicki

Proceedings Volume 7389, 738904 (2009) https://doi.org/10.1117/12.828002

KEYWORDS: Sensors, Databases, Cameras, Digital image correlation, Civil engineering, Binary data, Intelligence systems, Interferometry, Distributed computing, Data archive systems

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Proceedings Article | 8 February 2008 Paper

Internet virtual studio: low-cost augmented reality system for WebTV

Robert Sitnik, Slawomir Pasko, Maciej Karaszewski, Marcin Witkowski

Proceedings Volume 6804, 68040E (2008) https://doi.org/10.1117/12.765914

KEYWORDS: Cameras, Video, Virtual reality, Imaging systems, Internet, Multimedia, Computing systems, 3D video streaming, Augmented reality, Televisions

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Showing 5 of 6 publications

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