Subtitle:

Książka = Book ; KS/2/2012/T2P03

Publisher:

Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences

Place of publishing:

Warszawa

Description:

[3], 36-44 pages ; 21 cm ; Bibliography p. 44

Type of object:

Book/Chapter

Abstract:

In this paper, two popular methods of scene disparity estimation are compared for application in augmented reality. Augmenting computer rendered objects between real objects is challenging problem. Especially when image comes from video sequence or real time video. The proposed approach is base on the methods of disparity estimation for all pixels using stereo cameras. The group of pixels representing one object usually can be aggregated to one planar layer. Given the depth of any layer, the virtual object can be blended between the layers. Experimental results shows that using stereo calibrated cameras for scene depth estimation is effective. Graph cut method gives more accurate results then block matching method at a cost of lower speed.

Relation:

Książka = Book

Detailed Resource Type:

Book

Resource Identifier:

oai:rcin.org.pl:198660

Source:

KS-2012-02-T2P03

Language:

eng

Language of abstract:

eng

Rights:

Creative Commons Attribution BY 4.0 license

Terms of use:

Copyright-protected material. [CC BY 4.0] May be used within the scope specified in Creative Commons Attribution BY 4.0 license, full text available at: ; -

Digitizing institution:

Systems Research Institute of the Polish Academy of Sciences

Original in:

Library of Systems Research Institute PAS

Projects co-financed by:

Operational Program Digital Poland, 2014-2020, Measure 2.3: Digital accessibility and usefulness of public sector information; funds from the European Regional Development Fund and national co-financing from the state budget.

Access:

Open