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Journal Article A method for extracting 3D‐element based on local cost metrics resistant to radiometric distortion for realistic media application
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Authors
Kwangmu Shin, Sunghoon Kim
Issue Date
2023-08
Citation
Electronics Letters, v.59, no.16, pp.1-4
ISSN
0013-5194
Publisher
John Wiley & Sons Ltd.
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1049/ell2.12916
Abstract
The intensity values of pairs of stereoscopic images could be affected by radiometric elements such as camera exposure, illumination direction, etc. Therefore, it is a challenging problem to get consistent and exact disparity values under a variety of real‐world environment. Here, the proposed approach extracts disparity values based on a local cost metric and is resistant to global and local radiometric changes. It is designed in a way that disparity values are extracted using local uniformity of pixel values between pairs of stereoscopic images. The proposed metric‐based method is defined as the resistant local cost metric (RLCM) model. As a result of the experiment, the proposed model performed better than the comparative methods under experimental conditions in which the radiometric distortion between pairs of stereoscopic images was significantly different. The average peak signal‐to‐noise ratio (PSNR) value of the RLCM method is 20.0 dB under the global radiometric change condition and 19.3 dB under the local condition, showing the highest value compared to the comparison group. Consequentially, it is demonstrated that the proposed method is less sensitive to various radiometric changes.
KSP Keywords
Camera exposure, Comparative method, Global and local, Intensity values, Media applications, Pixel Value, Proposed model, Radiometric changes, Radiometric distortion, Stereoscopic image
This work is distributed under the term of Creative Commons License (CCL)
(CC BY NC ND)
CC BY NC ND