Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/17645
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Building colour terms: A combined GIS and stereo vision approach to identifying building pixels in images to determine appropriate colour terms
Authors: Bartie, Phil
Reitsma, Femke
Mills, Steven
Contact Email: phil.bartie@stir.ac.uk
Keywords: GIS
computer vision
stereo depth mapping
color terms
referring expressions
building facade
structure from motion
wayfinding instructions
color entropy
Issue Date: 2011
Publisher: University of Maine
Citation: Bartie P, Reitsma F & Mills S (2011) Building colour terms: A combined GIS and stereo vision approach to identifying building pixels in images to determine appropriate colour terms, Journal of Spatial Information Science (2), pp. 59-83.
Abstract: Color information is a useful attribute to include in a building’s description to assist the listener in identifying the intended target. Often this information is only available as image data, and not readily accessible for use in constructing referring expressions for verbal communication. The method presented uses a GIS building polygon layer in conjunction with street-level captured imagery to provide a method to automatically filter foreground objects and select pixels which correspond to building fac¸ades. These selected pixels are then used to define the most appropriate color term for the building, and corresponding fuzzy color term histogram. The technique uses a single camera capturing images at a high frame rate, with the baseline distance between frames calculated from a GPS speed log. The expected distance from the camera to the building is measured from the polygon layer and refined from the calculated depth map, after which building pixels are selected. In addition significant foreground planar surfaces between the known road edge and building fac¸ade are identified as possible boundarywalls and hedges. The output is a dataset of the most appropriate color terms for both the building and boundary walls. Initial trials demonstrate the usefulness of the technique in automatically capturing color terms for buildings in urban regions.
Type: Journal Article
URI: http://hdl.handle.net/1893/17645
URL: http://josis.org/index.php/josis/article/viewArticle/42
DOI Link: http://dx.doi.org/10.5311/JOSIS.2011.2.6
Rights: This work is licensed under a Creative Commons Attribution 3.0 License. Policy can be found at: http://creativecommons.org/licenses/by/3.0/
Affiliation: Biological and Environmental Sciences
University of Canterbury
University of Otago

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