[POSTER] Geometric Mapping for Color Compensation Using Scene Adaptive Patches
The SAR technique using a projector-camera system allows us to make various effect on a real scene without physical reconstitution. In order to project contents on a textured scene without color imperfections, geometric and radiometric compensation of a projection image should be conducted as prepro...
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| Published in: | 2015 IEEE International Symposium on Mixed and Augmented Reality pp. 206 - 207 |
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| Main Authors: | , , , |
| Format: | Conference Proceeding |
| Language: | English |
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IEEE
01.09.2015
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| Abstract | The SAR technique using a projector-camera system allows us to make various effect on a real scene without physical reconstitution. In order to project contents on a textured scene without color imperfections, geometric and radiometric compensation of a projection image should be conducted as preprocessing. In this paper, we present a new geometric mapping method for color compensation in the projector-camera system. We capture the scene and segment it into adaptive patch according to the scene structure using the SLIC segmentation. The piece-wise polynomial function is evaluated for each patch to find pixel-to-pixel correspondences between the measured and projection images. Finally, color compensation is performed by using a color mixing matrix. Experimental results show that our geometric mapping method establishes accurate correspondences and color compensation alleviates the color imperfections which is caused by texture of a general scene. |
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| AbstractList | The SAR technique using a projector-camera system allows us to make various effect on a real scene without physical reconstitution. In order to project contents on a textured scene without color imperfections, geometric and radiometric compensation of a projection image should be conducted as preprocessing. In this paper, we present a new geometric mapping method for color compensation in the projector-camera system. We capture the scene and segment it into adaptive patch according to the scene structure using the SLIC segmentation. The piece-wise polynomial function is evaluated for each patch to find pixel-to-pixel correspondences between the measured and projection images. Finally, color compensation is performed by using a color mixing matrix. Experimental results show that our geometric mapping method establishes accurate correspondences and color compensation alleviates the color imperfections which is caused by texture of a general scene. |
| Author | Yong Hwi Kim Lee, Kwan H. Yong Yi Lee Jong Hun Lee |
| Author_xml | – sequence: 1 surname: Jong Hun Lee fullname: Jong Hun Lee email: jonghoon@gist.ac.kr – sequence: 2 surname: Yong Hwi Kim fullname: Yong Hwi Kim – sequence: 3 surname: Yong Yi Lee fullname: Yong Yi Lee – sequence: 4 givenname: Kwan H. surname: Lee fullname: Lee, Kwan H. |
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| PublicationTitle | 2015 IEEE International Symposium on Mixed and Augmented Reality |
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| Snippet | The SAR technique using a projector-camera system allows us to make various effect on a real scene without physical reconstitution. In order to project... |
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| StartPage | 206 |
| SubjectTerms | Augmented reality Calibration Cameras Distortion Image color analysis Image segmentation Polynomials |
| Title | [POSTER] Geometric Mapping for Color Compensation Using Scene Adaptive Patches |
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