Scientific journal
Scientific Review. Technical science
ISSN 2500-0799
ПИ №ФС77-57440

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DEPTH MAPS RECOVERY USING A COMBINATION OF MULTICHANNEL IMAGE PROCESSING

Voronin V.V. 1 Fisunov A.V. 1 Marchuk V.I. 1 Svirin I.S. 2 Petrov S.P. 3
1 Don State Technical University
2 CJSC «Nordavind»
3 LLS « Nordavind-Dubna»
RGB-D sensors are relatively inexpensive and are commercially available off-the-shelf. However, owing to their low complexity, there are several artifacts that one encounters in the depth map like holes, miss-alignment between the depth and color image and lack of sharp object boundaries in the depth map. Depth map generated by Kinect cameras also contain a significant amount of missing pixels and strong noise, limiting their usability in many computer vision applications. In this paper we present an efficient hole filling and damaged region restoration method that improves the quality of the depth maps obtained with the Microsoft Kinect device. The proposed approach based on a modified exemplar-based inpainting and LPA-ICI filtering by exploiting the correlation between color and depth values in local image neighborhoods. The edges of the objects are sharpened and aligned with the objects in the color image using such approach. Several examples considered in this paper show the effectiveness of the proposed approach for large holes removal as well as recovery of small regions on several test images of depth maps.