Analysis of Depth in Integral, Multiview and Plenoptic Images by Using Multiview Wavelets

Saveljev, Vladimir (2020) Analysis of Depth in Integral, Multiview and Plenoptic Images by Using Multiview Wavelets. In: Emerging Trends in Engineering Research and Technology Vol. 1. B P International, pp. 141-154. ISBN 978-93-89816-51-8

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Abstract

The wavelet analysis of the integral images can be applied to extract the depth from the
photographed/synthesized 3D objects. Multiview wavelets can be based either on the Haar wavelets
or on the B-splines. The continuous wavelet transform was applied to the testing wireframe binary
objects. The restored locations correspond to the structure of the testing wireframe binary objects.
The result of the wavelet analysis, however, depends on the colour/texture of the object, and thus can
be ambiguous. In order to avoid such an ambiguity, the normalization of the image before processing
was proposed, so as the extraction of the depth could be performed with no regards to the
colour/texture. The improved technique was verified in multiple integral/plenoptic images; it can be
also applied to multiview and light field displays.

Item Type: Book Section
Subjects: Pustaka Library > Engineering
Depositing User: Unnamed user with email support@pustakalibrary.com
Date Deposited: 02 Dec 2023 06:00
Last Modified: 02 Dec 2023 06:00
URI: http://archive.bionaturalists.in/id/eprint/1945

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