Title:	Point-to-Block Matching in Depth Estimation
Authors:	Mieloch, Dawid Klóska, Dominika Woźniak, Magdalena
Citation:	WSCG 2021: full papers proceedings: 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 135-144.
Issue Date:	2021
Publisher:	Václav Skala - UNION Agency
Document type:	konferenční příspěvek conferenceObject
URI:	http://hdl.handle.net/11025/45018
ISBN:	978-80-86943-34-3
ISSN:	2464-4617 2464–4625(CD/DVD)
Keywords:	hloubkové mapy;odhad hloubky;korespondenční pohovor;metrika podobnosti;syntéza virtuálního pohledu
Keywords in different language:	depth maps;depth estimation;inter-view correspondence;similarity metric;virtual view synthesis
Abstract in different language:	In this paper, the novel correspondence search method called point-to-block matching was proposed. Recently, in many proposed multimedia systems, depth estimation is performed on compressed input views. To address this problem and increase the quality of such depth maps, in the proposal, a point in a view is not compared simply with a point in another view, but to the most similar point in a small block surrounding it. The introduction of this method in the depth estimation process is beneficial to the quality of depth maps, as it decreases the influence of small shifts in images, caused e.g., by encoding-related errors introduced to input views. The method was implemented in one of the state-of-the-art depth estimation methods and tested in series of experiments. Based on the comparison of synthesized virtual views with the input views, the proposal increases the quality of estimated depth maps in most of the tested configurations.
Rights:	© Václav Skala - UNION Agency
Appears in Collections:	WSCG 2021: Full Papers Proceedings

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.