TY - GEN
T1 - Image de-fencing revisited
AU - Park, Minwoo
AU - Brocklehurst, Kyle
AU - Collins, Robert T.
AU - Liu, Yanxi
PY - 2011
Y1 - 2011
N2 - We introduce a novel image defencing method suitable for consumer photography, where plausible results must be achieved under common camera settings. First, detection of lattices with see-through texels is performed in an iterative process using online learning and classification from intermediate results to aid subsequent detection. Then, segmentation of the foreground is performed using accumulated statistics from all lattice points. Next, multi-view inpainting is performed to fill in occluded areas with information from shifted views where parts of the occluded regions may be visible. For regions occluded in all views, we use novel symmetry-augmented inpainting, which combines traditional texture synthesis with an increased pool of candidate patches found by simulating bilateral symmetry patterns from the source image. The results show the effectiveness of our proposed method.
AB - We introduce a novel image defencing method suitable for consumer photography, where plausible results must be achieved under common camera settings. First, detection of lattices with see-through texels is performed in an iterative process using online learning and classification from intermediate results to aid subsequent detection. Then, segmentation of the foreground is performed using accumulated statistics from all lattice points. Next, multi-view inpainting is performed to fill in occluded areas with information from shifted views where parts of the occluded regions may be visible. For regions occluded in all views, we use novel symmetry-augmented inpainting, which combines traditional texture synthesis with an increased pool of candidate patches found by simulating bilateral symmetry patterns from the source image. The results show the effectiveness of our proposed method.
UR - https://www.scopus.com/pages/publications/79952500175
UR - https://www.scopus.com/pages/publications/79952500175#tab=citedBy
U2 - 10.1007/978-3-642-19282-1_34
DO - 10.1007/978-3-642-19282-1_34
M3 - Conference contribution
AN - SCOPUS:79952500175
SN - 9783642192814
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 422
EP - 434
BT - Computer Vision, ACCV 2010 - 10th Asian Conference on Computer Vision, Revised Selected Papers
PB - Springer Verlag
ER -