Metadata language
Książka = Book ; KS/2/2012/T2P03
Creator: Publisher:Instytut Badań Systemowych. Polska Akademia Nauk ; Systems Research Institute. Polish Academy of Sciences
Place of publishing: Date issued/created: Description:[3], 36-44 pages ; 21 cm ; Bibliography p. 44
Type of object: 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: Resource type: Detailed Resource Type: Source: Language: Language of abstract: 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
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