JOURNAL ARTICLE

Depth hole filling using the depth distribution of neighboring regions of depth holes in the Kinect sensor

Abstract

This paper proposes a depth hole filling method for RGBD images obtained from the Microsoft Kinect sensor. First, the proposed method labels depth holes based on 8-connectivity. For each labeled depth hole, the proposed method fills depth hole using the depth distribution of neighboring pixels of the depth hole. Then, we refine the hole filling result with cross-bilateral filtering. In experiments, by simply using the depth distribution of neighboring pixels, the proposed method improves the acquired depth map and reduces false filling caused by incorrect depth-color fusion.

Keywords:
Measured depth Depth map Pixel Filling-in Computer vision Artificial intelligence Distribution (mathematics) Fusion Computer science Geology Image (mathematics) Mathematics

Metrics

47
Cited By
7.00
FWCI (Field Weighted Citation Impact)
7
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Image Processing Techniques and Applications
Physical Sciences →  Engineering →  Media Technology
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Industrial Vision Systems and Defect Detection
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering

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