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Automatic Segmented area Structured Lighting

Goyal, K; Baghsiahi, H; Selviah, DR; (2015) Automatic Segmented area Structured Lighting. In: IMVIP, (ed.) Irish Machine Vision & Image Processing Conference Proceedings 2015. (pp. pp. 97-104). Irish Pattern Recognition and Classification Society (IPRCS): Dublin, Ireland. Green open access

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Abstract

The aim of the research is to devise an automatic way to view and segment a scene of discrete 3D objects with or without ambient illumination and then to fully illuminate each object in turn without illuminating other objects or the background. The structured illumination must be controlled in time and space to have the same shape, size and position as the object. There is a need for such a system in the entertainment and visual arts industries for sound and light shows at night outdoors for selectively illuminating buildings, in caves or caverns for illuminating rock formations, or for illuminating mannequins, statues or waxwork figures in theatres sequentially in synchrony with a voiceover narration discussing each in turn. In these applications, such a technique has an advantage over the use of spotlights as only the object of interest is illuminated and not nearby objects or the background so helping the viewer to concentrate on just the object of interest. In this paper a video camera and projector system is reported with real time image processing feedback via a computer. The way in which the image processing algorithms in the feedback loop were developed to overcome various issues is explained.

Type: Proceedings paper
Title: Automatic Segmented area Structured Lighting
Event: Irish Machine Vision and Image Processing
Location: Dublin
Dates: 26 August 2015 - 28 August 2015
ISBN-13: 978-0-9934207-0-2
Open access status: An open access version is available from UCL Discovery
Publisher version: http://www.tara.tcd.ie/handle/2262/74714
Language: English
Additional information: This work is licensed under the Creative Commons Attribution-NonCommercial- ShareAlike License. To view a copy of this license, visit:
Keywords: Object-Background segmentation, Structured illumination, Spotlight, Signal processing, Image alignment
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
URI: https://discovery.ucl.ac.uk/id/eprint/1470705
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