Detection of diffuse and specular interface reflections and inter-reflections by color image segmentation
dc.contributor.author | Bajcsy, Ruzena | en_US |
dc.contributor.author | Lee, Sang Wook | en_US |
dc.contributor.author | Leonardis, Aleš | en_US |
dc.date.accessioned | 2006-09-08T19:06:44Z | |
dc.date.available | 2006-09-08T19:06:44Z | |
dc.date.issued | 1996-03 | en_US |
dc.identifier.citation | Bajcsy, Ruzena; Lee, Sang Wook; Leonardis, Aleš; (1996). "Detection of diffuse and specular interface reflections and inter-reflections by color image segmentation." International Journal of Computer Vision 17(3): 241-272. <http://hdl.handle.net/2027.42/41303> | en_US |
dc.identifier.issn | 0920-5691 | en_US |
dc.identifier.issn | 1573-1405 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/41303 | |
dc.description.abstract | We present a computational model and algorithm for detecting diffuse and specular interface reflections and some inter-reflections. Our color reflection model is based on the dichromatic model for dielectric materials and on a color space, called S space, formed with three orthogonal basis functions. We transform color pixels measured in RGB into the S space and analyze color variations on objects in terms of brightness, hue and saturation which are defined in the S space. When transforming the original RGB data into the S space, we discount the scene illumination color that is estimated using a white reference plate as an active probe. As a result, the color image appears as if the scene illumination is white. Under the whitened illumination, the interface reflection clusters in the S space are all aligned with the brightness direction. The brightness, hue and saturation values exhibit a more direct correspondence to body colors and to diffuse and specular interface reflections, shading, shadows and inter-reflections than the RGB coordinates. We exploit these relationships to segment the color image, and to separate specular and diffuse interface reflections and some inter-reflections from body reflections. The proposed algorithm is effications for uniformly colored dielectric surfaces under singly colored scene illumination. Experimental results conform to our model and algorithm within the liminations discussed. | en_US |
dc.format.extent | 2535704 bytes | |
dc.format.extent | 3115 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.language.iso | en_US | |
dc.publisher | Kluwer Academic Publishers; Springer Science+Business Media | en_US |
dc.subject.other | Computer Science | en_US |
dc.subject.other | Artificial Intelligence (Incl. Robotics) | en_US |
dc.subject.other | Computer Imaging, Graphics and Computer Vision | en_US |
dc.subject.other | Image Processing | en_US |
dc.subject.other | Automation and Robotics | en_US |
dc.title | Detection of diffuse and specular interface reflections and inter-reflections by color image segmentation | en_US |
dc.type | Article | en_US |
dc.subject.hlbsecondlevel | Computer Science | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Dept. of Electrical Engineering and Computer Science, Univ. of Michigan, 1101 Beal Ave., 48109, Ann Arbor, MI | en_US |
dc.contributor.affiliationother | GRASP Laboratory, Department of Computer and Information Science, University of Pennsylvania, 19104, Philadelphia, PA | en_US |
dc.contributor.affiliationother | Faculty of Electrical Engineering and Computer Science, Trzaska c. 25, 61001, Ljubljana, Slovenia | en_US |
dc.contributor.affiliationumcampus | Ann Arbor | en_US |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/41303/1/11263_2004_Article_BF00128233.pdf | en_US |
dc.identifier.doi | http://dx.doi.org/10.1007/BF00128233 | en_US |
dc.identifier.source | International Journal of Computer Vision | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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