Abstract:
To implement vertical retargeting for stereoscopic images, this paper proposes an occlusion-guided stereoscopic image retargeting method via the pixel fusion technique. T...Show MoreMetadata
Abstract:
To implement vertical retargeting for stereoscopic images, this paper proposes an occlusion-guided stereoscopic image retargeting method via the pixel fusion technique. Traditional seam searching-based methods cannot construct valid horizontal seam pairs due to the existence of occluded regions in stereoscopic images and thus fail to implement vertical retargeting. To solve this issue, we propose a novel horizontal seam coupling strategy guided by the occlusion regions that appear on both sides of stereoscopic images. Horizontal seams were able to be laid across the occluded and occluding regions with their geometric consistency maintained. Another important contribution of our method is incorporating occluding masks into energy optimization. The experimental results show that our method can achieve promising performances in both visual experience and depth preservation.
Date of Conference: 25-28 October 2020
Date Added to IEEE Xplore: 30 September 2020
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Cites in Papers - |
Cites in Papers - IEEE (1)
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Hassan Imani, Md Baharul Islam, Lai-Kuan Wong, "Saliency-aware Stereoscopic Video Retargeting", 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp.1230-1239, 2023.
Cites in Papers - Other Publishers (1)
1.
Xiaoting Fan, Jianjun Lei, Jie Liang, Yuming Fang, Xiaochun Cao, Nam Ling, "Unsupervised stereoscopic image retargeting via view synthesis and stereo cycle consistency losses", Neurocomputing, vol.447, pp.161, 2021.