In this paper, we propose an image completion algorithm which takes advantage of the countless number of images available on Internet photo sharing sites to replace occlusions in an input image. The algorithm 1) automatically selects the most suitable images from a database of downloaded images and 2) seamlessly completes the input image using the selected images with minimal user intervention. Experimental results on input images captured at various locations and scene conditions demonstrate the effectiveness of the proposed technique in seamlessly reconstructing user-defined occlusions.
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Hanieh AMIRSHAHI, Satoshi KONDO, Koichi ITO, Takafumi AOKI, "An Image Completion Algorithm Using Occlusion-Free Images from Internet Photo Sharing Sites" in IEICE TRANSACTIONS on Fundamentals,
vol. E91-A, no. 10, pp. 2918-2927, October 2008, doi: 10.1093/ietfec/e91-a.10.2918.
Abstract: In this paper, we propose an image completion algorithm which takes advantage of the countless number of images available on Internet photo sharing sites to replace occlusions in an input image. The algorithm 1) automatically selects the most suitable images from a database of downloaded images and 2) seamlessly completes the input image using the selected images with minimal user intervention. Experimental results on input images captured at various locations and scene conditions demonstrate the effectiveness of the proposed technique in seamlessly reconstructing user-defined occlusions.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1093/ietfec/e91-a.10.2918/_p
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@ARTICLE{e91-a_10_2918,
author={Hanieh AMIRSHAHI, Satoshi KONDO, Koichi ITO, Takafumi AOKI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={An Image Completion Algorithm Using Occlusion-Free Images from Internet Photo Sharing Sites},
year={2008},
volume={E91-A},
number={10},
pages={2918-2927},
abstract={In this paper, we propose an image completion algorithm which takes advantage of the countless number of images available on Internet photo sharing sites to replace occlusions in an input image. The algorithm 1) automatically selects the most suitable images from a database of downloaded images and 2) seamlessly completes the input image using the selected images with minimal user intervention. Experimental results on input images captured at various locations and scene conditions demonstrate the effectiveness of the proposed technique in seamlessly reconstructing user-defined occlusions.},
keywords={},
doi={10.1093/ietfec/e91-a.10.2918},
ISSN={1745-1337},
month={October},}
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TY - JOUR
TI - An Image Completion Algorithm Using Occlusion-Free Images from Internet Photo Sharing Sites
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2918
EP - 2927
AU - Hanieh AMIRSHAHI
AU - Satoshi KONDO
AU - Koichi ITO
AU - Takafumi AOKI
PY - 2008
DO - 10.1093/ietfec/e91-a.10.2918
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E91-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2008
AB - In this paper, we propose an image completion algorithm which takes advantage of the countless number of images available on Internet photo sharing sites to replace occlusions in an input image. The algorithm 1) automatically selects the most suitable images from a database of downloaded images and 2) seamlessly completes the input image using the selected images with minimal user intervention. Experimental results on input images captured at various locations and scene conditions demonstrate the effectiveness of the proposed technique in seamlessly reconstructing user-defined occlusions.
ER -