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Intelligent Object Shape and Position Identification for Needs of Dynamic Luminance Shaping in Object Floodlighting and Projection Mapping

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  • Sebastian Słomiński

    (Lighting Technology Division, Electrical Power Engineering Institute, Warsaw University of Technology, 75 Koszykowa St., 00-662 Warsaw, Poland)

  • Magdalena Sobaszek

    (Lighting Technology Division, Electrical Power Engineering Institute, Warsaw University of Technology, 75 Koszykowa St., 00-662 Warsaw, Poland)

Abstract

Innovative lighting and dynamic sound systems as well as adaptive object mapping solutions constitute a rapidly developing branch of lighting technology and multimedia technology. In order to make it possible to adjust the content to specific objects in the scene, it is necessary to correctly identify them and place them in the accepted frame of reference. Dynamic identification and tracking of objects can be carried out based on two particular types of input data: data from markers installed on objects and data from digital recording systems, founding the operation on infrared (IR), visible light (RGB) and the most advanced RGB-D (RGB and depth) analysis. Most systems used today are those that use various types of markers. This paper presents the advantages and disadvantages of such solutions as well as a target system for dynamic identification and mapping of objects and the human body based on the analysis of data from digital RGB-D cameras. Analyses of identification times, implementation of perspective transformations and 3D-to-2D transformations have been carried out in relation to a planar and cuboidal moving surface. Time analyses have been performed in relation to the resolution of registered and processed images.

Suggested Citation

  • Sebastian Słomiński & Magdalena Sobaszek, 2020. "Intelligent Object Shape and Position Identification for Needs of Dynamic Luminance Shaping in Object Floodlighting and Projection Mapping," Energies, MDPI, vol. 13(23), pages 1-21, December.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:23:p:6442-:d:457431
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    References listed on IDEAS

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    1. Yundong Guo & Shu-Chuan Chu & Zhenyu Liu & Chan Qiu & Hao Luo & Jianrong Tan, 2018. "A real-time interactive system of surface reconstruction and dynamic projection mapping with RGB-depth sensor and projector," International Journal of Distributed Sensor Networks, , vol. 14(7), pages 15501477187, July.
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    Cited by:

    1. Henryk Wachta & Krzysztof Baran & Sebastian Różowicz, 2023. "Impact of Street Lighting Level on Floodlights," Energies, MDPI, vol. 16(15), pages 1-23, July.
    2. Sebastian Słomiński & Magdalena Sobaszek, 2021. "Dynamic Autonomous Identification and Intelligent Lighting of Moving Objects with Discomfort Glare Limitation," Energies, MDPI, vol. 14(21), pages 1-23, November.

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