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Open Access Enhanced guided image filter using trilateral kernel for disparity error correction

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Stereo matching methods estimate the depth information from stereoscopic images using the characteristics of binocular disparity. We try to find corresponding points from the left and right viewpoint images to obtain the disparity map. Once we get the disparity value between the two correspondences, we can calculate the depth information of the object. If there is no texture in the image, the stereo matching operation may not find the accurate disparity value. Especially, it is quite difficult to estimate correct disparity values in occluded regions. In this paper, we propose a new method to detect disparity errors in the disparity map and correct those errors using the enhanced guided image filter (GIF). An error correction using the GIF causes disparity-smoothing near the occluded region because of a coefficient-smoothing process in the GIF. Thus, our method employs a trilateral kernel for the coefficient smoothing process to alleviate the problem.
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Keywords: Depth information; Disparity map; Guided image filter; Stereo matching; Trilateral kernel

Document Type: Research Article

Publication date: January 13, 2019

This article was made available online on January 13, 2019 as a Fast Track article with title: "Enhanced guided image filter using trilateral kernel for disparity error correction".

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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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