OBJECT RECOGNITION AND POSE ESTIMATION ACROSS ILLUMINATION CHANGES

D. Muselet, B. Funt, L. Shi, L. Macaire

Abstract

In this paper, we present a new algorithm for color-based object recognition that detects objects and estimates their pose (position and orientation) in cluttered scenes observed under uncontrolled illumination conditions. As with so many other color-based object-recognition algorithms, color histograms are also fundamental to our approach; however, we use histograms obtained from overlapping subwindows, rather than the entire image. Furthermore, each local histogram is normalized using greyworld normalization in order to be as less sensitive to illumination as possible. An object from a database of prototype objects is identified and located in an input image by matching the subwindow contents. The prototype is detected in the input whenever many good histogram matches are found between the subwindows of the input image and those of the prototype. In essence, normalized color histograms of subwindows are the local features being matched. Once an object has been recognized, its 2D pose is found by approximating the geometrical transformation most consistently mapping the locations of prototype’s subwindows to their matched subwindow locations in the input image.

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Paper Citation


in Harvard Style

Muselet D., Funt B., Shi L. and Macaire L. (2007). OBJECT RECOGNITION AND POSE ESTIMATION ACROSS ILLUMINATION CHANGES . In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 978-972-8865-74-0, pages 264-267. DOI: 10.5220/0002052602640267


in Bibtex Style

@conference{visapp07,
author={D. Muselet and B. Funt and L. Shi and L. Macaire},
title={OBJECT RECOGNITION AND POSE ESTIMATION ACROSS ILLUMINATION CHANGES},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2007},
pages={264-267},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002052602640267},
isbn={978-972-8865-74-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - OBJECT RECOGNITION AND POSE ESTIMATION ACROSS ILLUMINATION CHANGES
SN - 978-972-8865-74-0
AU - Muselet D.
AU - Funt B.
AU - Shi L.
AU - Macaire L.
PY - 2007
SP - 264
EP - 267
DO - 10.5220/0002052602640267