JOURNAL ARTICLE

Robust enhancement of depth images from Kinect sensor

Islam, A B M TariqulScheel, ChristianStaadt, OliverPajarola, R

Year: 2015 Journal:   Zurich Open Repository and Archive (University of Zurich)   Publisher: University of Zurich

Abstract

We propose a new method to fill missing or invalid values in depth images generated from the Kinect depth sensor. To fill the missing depth values, we use a robust least median of squares (LMedS) approach. We apply our method for telepresence environments, where Kinects are used very often for reconstructing the captured scene in 3D. We introduce a modified 1D LMedS approach for efficient traversal of consecutive image frames. Our approach solves the unstable nature of depth values in static scenes that is perceived as flickering. We obtain very good result both for static and moving objects inside a scene.

Keywords:
Tree traversal Image (mathematics) Measured depth Robustness (evolution) Least-squares function approximation Missing data Visualization Calibration Reprojection error

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Topics

Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Optical measurement and interference techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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