Image statistics and the perception of surface reflectance
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2006
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| Online Access: | http://hdl.handle.net/1721.1/34356 |
| _version_ | 1826198877809672192 |
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| author | Sharan, Lavanya |
| author2 | Edward H. Adelson. |
| author_facet | Edward H. Adelson. Sharan, Lavanya |
| author_sort | Sharan, Lavanya |
| collection | MIT |
| description | Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005. |
| first_indexed | 2024-09-23T11:11:24Z |
| format | Thesis |
| id | mit-1721.1/34356 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T11:11:24Z |
| publishDate | 2006 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/343562019-04-11T14:11:51Z Image statistics and the perception of surface reflectance Sharan, Lavanya Edward H. Adelson. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005. MIT Institute Archives copy: p. 223 (last page) bound in reverse order. Includes bibliographical references (p. 217-223). Humans are surprisingly good at judging the reflectance of complex surfaces even when the surfaces are viewed in isolation, contrary to the Gelb effect. We argue that textural cues are important for this task. Traditional machine vision systems, on the other hand, are incapable of recognizing reflectance properties. Estimating the reflectance of a complex surface under unknown illumination from a single image is a hard problem. Recent work in reflectance recognition has shown that certain statistics measured o an image of a surface are diagnostic of reflectance. We consider opaque surfaces with medium scale structure and spatially homogeneous reflectance properties. For such surfaces, we find that statistics of intensity histograms and histograms of filtered outputs are indicative of the diffuse surface reflectance. We compare the performance of a learning algorithm that employs these image statistics to human performance in two psychophysical experiments. In the first experiment, observers classify images of complex surfaces according to the perceived reflectance. We find that the learning algorithm rivals human performance at the classification task. In the second experiment, we manipulate the statistics of images and ask observers to provide reflectance ratings. In this case, the learning algorithm performs similarly to human observers. These findings lead us to conclude that the image statistics capture perceptually relevant information. by Lavanya Sharan. S.M. 2006-11-07T11:46:59Z 2006-11-07T11:46:59Z 2005 2005 Thesis http://hdl.handle.net/1721.1/34356 70078631 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 223 p. 9617077 bytes 9631583 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Sharan, Lavanya Image statistics and the perception of surface reflectance |
| title | Image statistics and the perception of surface reflectance |
| title_full | Image statistics and the perception of surface reflectance |
| title_fullStr | Image statistics and the perception of surface reflectance |
| title_full_unstemmed | Image statistics and the perception of surface reflectance |
| title_short | Image statistics and the perception of surface reflectance |
| title_sort | image statistics and the perception of surface reflectance |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/34356 |
| work_keys_str_mv | AT sharanlavanya imagestatisticsandtheperceptionofsurfacereflectance |