Depth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution
In this paper, we present a joint iterative anaglyph stereo matching and colorization framework for obtaining a set of disparity maps and colorized images. Conventional stereo matching algorithms fail when addressing anaglyph images that do not have similar intensities on their two respective view i...
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| Other Authors: | |
| Format: | Article |
| Language: | en_US |
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Institute of Electrical and Electronics Engineers (IEEE)
2016
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| Online Access: | http://hdl.handle.net/1721.1/104847 https://orcid.org/0000-0002-3254-3224 |
| _version_ | 1826202905365970944 |
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| author | Williem Park, In Kyu Raskar, Ramesh |
| author2 | Massachusetts Institute of Technology. Media Laboratory |
| author_facet | Massachusetts Institute of Technology. Media Laboratory Williem Park, In Kyu Raskar, Ramesh |
| author_sort | Williem |
| collection | MIT |
| description | In this paper, we present a joint iterative anaglyph stereo matching and colorization framework for obtaining a set of disparity maps and colorized images. Conventional stereo matching algorithms fail when addressing anaglyph images that do not have similar intensities on their two respective view images. To resolve this problem, we propose two novel data costs using local color prior and reverse intensity distribution factor for obtaining accurate depth maps. To colorize an anaglyph image, each pixel in one view is warped to another view using the obtained disparity values of non-occluded regions. A colorization algorithm using optimization is then employed with additional constraint to colorize the remaining occluded regions. Experimental results confirm that the proposed unified framework is robust and produces accurate depth maps and colorized stereo images. |
| first_indexed | 2024-09-23T12:25:40Z |
| format | Article |
| id | mit-1721.1/104847 |
| institution | Massachusetts Institute of Technology |
| language | en_US |
| last_indexed | 2024-09-23T12:25:40Z |
| publishDate | 2016 |
| publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| record_format | dspace |
| spelling | mit-1721.1/1048472022-10-01T09:10:20Z Depth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution Williem Park, In Kyu Raskar, Ramesh Massachusetts Institute of Technology. Media Laboratory Program in Media Arts and Sciences (Massachusetts Institute of Technology) Raskar, Ramesh In this paper, we present a joint iterative anaglyph stereo matching and colorization framework for obtaining a set of disparity maps and colorized images. Conventional stereo matching algorithms fail when addressing anaglyph images that do not have similar intensities on their two respective view images. To resolve this problem, we propose two novel data costs using local color prior and reverse intensity distribution factor for obtaining accurate depth maps. To colorize an anaglyph image, each pixel in one view is warped to another view using the obtained disparity values of non-occluded regions. A colorization algorithm using optimization is then employed with additional constraint to colorize the remaining occluded regions. Experimental results confirm that the proposed unified framework is robust and produces accurate depth maps and colorized stereo images. National Research Foundation of Korea (Basic Science Research Program (Ministry of Education, NRF-2012R1A1A2009495)) National Research Foundation of Korea (Korea government (MSIP), grant No. NRF-2013R1A2A2A01069181) 2016-10-19T14:49:20Z 2016-10-19T14:49:20Z 2015-12 Article http://purl.org/eprint/type/ConferencePaper 978-1-4673-8391-2 http://hdl.handle.net/1721.1/104847 Williem, Ramesh Raskar, and In Kyu Park. “Depth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution.” 2015 IEEE International Conference on Computer Vision (ICCV) (December 2015). https://orcid.org/0000-0002-3254-3224 en_US http://dx.doi.org/10.1109/ICCV.2015.395 2015 IEEE International Conference on Computer Vision (ICCV) Creative Commons Attribution-Noncommercial-Share Alike http://creativecommons.org/licenses/by-nc-sa/4.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) Other repository |
| spellingShingle | Williem Park, In Kyu Raskar, Ramesh Depth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution |
| title | Depth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution |
| title_full | Depth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution |
| title_fullStr | Depth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution |
| title_full_unstemmed | Depth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution |
| title_short | Depth Map Estimation and Colorization of Anaglyph Images Using Local Color Prior and Reverse Intensity Distribution |
| title_sort | depth map estimation and colorization of anaglyph images using local color prior and reverse intensity distribution |
| url | http://hdl.handle.net/1721.1/104847 https://orcid.org/0000-0002-3254-3224 |
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