Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/11274
Title: | Smart Camera SoC System for Interactive Real-Time Real-Brush based Digital Painting Systems | Authors: | CLAESEN, Luc VANDOREN, Peter VAN LAERHOVEN, Tom MOTTEN, Andy Nowicki, Dominique DE WEYER, Tom VAN REETH, Frank FLERACKERS, Eddy |
Issue Date: | 2010 | Publisher: | IEEE | Source: | Proceedings 2010 18th IEEE/IFIP International Conference on VLSI and System-on-Chip. p. 247-252. | Abstract: | Advanced digital paint systems, based on accurate simulation models for the paint, brush and canvas interaction enable a virtual painting environment familiar to artists, but also allow for new ways of expressivity. The new FluidPaint co-located real-brush-input & canvas-display systems put extremely high demands on the real-time image processing and the reaction time between brush strokes and the rendering of the painting result on the screen. A new Smart Camera System-on-Chip (SoC) architecture is presented enabling real-time input of brush-strokes with real brushes in the FluidPaint digital painting system. | Notes: | Reprint Address: Claesen, L (reprint author), Univ Hasselt, EDM Expertise Ctr Digital Media, tUL, IBBT, Wetenschapspk 2, B-3590 Diepenbeek, Belgium Addresses: 1. Univ Hasselt, EDM Expertise Ctr Digital Media, tUL, IBBT, B-3590 Diepenbeek, Belgium E-mail Address: luc.claesen@uhasselt.be, peter.vandoren@uhasselt.be, tom.vanlaerhoven@uhasselt.be, andy.motten@uhasselt.be, domien.nowicki@uhasselt.be, tom.deweyer@uhasselt.be, frank.vanreeth@uhasselt.be, eddy.flerackers@uhasselt.be | Keywords: | System-on-Chip; SoC; FPGA; digital painting; active canvas; Video Processing; human-computer interface; real-time; Smart Camera; embedded video; FTIR | Document URI: | http://hdl.handle.net/1942/11274 | ISBN: | 978-1-4244-6470-8 | ISI #: | 000295220400044 | Category: | C1 | Type: | Proceedings Paper | Validations: | ecoom 2012 |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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Smart Camera.pdf | Published version | 401.17 kB | Adobe PDF | View/Open |
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