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

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 identi...

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Bibliographic Details
Published in:Energies (Basel) 2020-12, Vol.13 (23), p.6442
Main Authors: Słomiński, Sebastian, Sobaszek, Magdalena
Format: Article
Language:English
Subjects:
Adaptive systems
Algorithms
Cameras
depth camera
depth image
Floodlighting
Geometry
Infrared radiation
Light
Lighting
Lighting systems
Mapping
marker tracking
markerless tracking
Markers
Multimedia
Real time
Sensors
Technology
Vehicles
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Summary: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.
ISSN:1996-1073
1996-1073
DOI:10.3390/en13236442