Depth Map Reconstruction Based on Features Formed by Descriptor of Stereo Color Pairs

Depth Map Reconstruction Based on Features Formed by Descriptor of Stereo Color Pairs

An approach to depth map reconstruction from stereo pairs of color images in visualization of three-dimensional objects is proposed and substantiated for the first time. The approach makes use of a novel local image descriptor based on visual primitives and relations between them, namely, cocolority...

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Veröffentlicht in:Doklady. Mathematics 2019-07, Vol.100 (1), p.396-400
Hauptverfasser: Kravchenko, V. F., Ponomaryov, V. I., Pustovoit, V. I., Rosas-Miranda, D.
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Color imagery
Computer Science
Coplanarity
Image reconstruction
Mathematics
Mathematics and Statistics
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container_title Doklady. Mathematics
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creator Kravchenko, V. F.
Ponomaryov, V. I.
Pustovoit, V. I.
Rosas-Miranda, D.
description An approach to depth map reconstruction from stereo pairs of color images in visualization of three-dimensional objects is proposed and substantiated for the first time. The approach makes use of a novel local image descriptor based on visual primitives and relations between them, namely, cocolority, coplanarity, distance, and angle. The new approach is compared with other well-known descriptors, such as DAISY and SID. Numerical experiments and an analysis and physical interpretation of their results obtained in the case of actual radiometric differences in the exposition or illumination of stereo image pairs have shown that the new approach is superior to other existing descriptors.
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subjects Color imagery
Computer Science
Coplanarity
Image reconstruction
Mathematics
Mathematics and Statistics
title Depth Map Reconstruction Based on Features Formed by Descriptor of Stereo Color Pairs
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