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Open Access A new hole filling method based on 3D geometric transformation for synthesized image

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This paper proposes a new hole filling method using 3D geometric transformation to make a synthesized image at virtual viewpoint. Disoccluded regions in virtual viewpoint could appear as hole regions in the synthesized image. The hole regions are supposed to be filled in a visually plausible manner. In most of previous works, hole regions were filled with translated patches (labels) extracted from non-hole region (source region). In many cases, however, it is difficult to find the most similar labels due to texture irregularity and perspective distortion in a wide view angle. In this paper, we propose a new hole filling method in which hole regions are filled with the best labels using 3D geometric transformation and associated nearest neighbor search. Experimental results show that the proposed method provides structurally consistent results with a high computational efficiency, which outperforms existing hole filling methods.1

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Document Type: Research Article

Publication date: 14 February 2016

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  • For more than 30 years, the Electronic Imaging Symposium has been serving those in the broad community - from academia and industry - who work on imaging science and digital technologies. The breadth of the Symposium covers the entire imaging science ecosystem, from capture (sensors, camera) through image processing (image quality, color and appearance) to how we and our surrogate machines see and interpret images. Applications covered include augmented reality, autonomous vehicles, machine vision, data analysis, digital and mobile photography, security, virtual reality, and human vision. IS&T began sole sponsorship of the meeting in 2016. All papers presented at EIs 20+ conferences are open access.

    Please note: For purposes of its Digital Library content, IS&T defines Open Access as papers that will be downloadable in their entirety for free in perpetuity. Copyright restrictions on papers vary; see individual paper for details.

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