Color-Guided Flying Pixel Correction in Depth Images

We present a novel method to correct flying pixels within data captured by Time-of-flight (ToF) sensors. Flying pixel (FP) artifacts occur when signals from foreground and background objects reach the same sensor pixel, leading to a confident yet incorrect depth estimation in space-floating between two objects. Commercial RGB-D cameras have a complementary setup consisting of ToF sensors to capture depth in addition to RGB cameras. We propose a novel method to correct FPs by leveraging the aligned RGB and depth image in such RGB-D cameras to estimate the true depth values of FPs. Our method defines a 3D neighborhood around each point, representing a “field of view” that mirrors the acquisition process of ToF cameras. We propose a two-step iterative correction algorithm in which the FPs are first identified. Then, we estimate the true depth value of FPs by solving a least-squares optimization problem. Experimental results show that our proposed algorithm estimates the depth value of FPs as accurately as other algorithms in the literature.

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Publication Details

Published
2024-10-02
DOI
https://doi.org/10.1109/mmsp61759.2024.10743790
Citations
1
Primary Topic
Advanced Vision and Imaging
Type
article
Field-Weighted Citation Impact
0.25
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article

Color-Guided Flying Pixel Correction in Depth Images

Eduardo Pavéz, Antonio Ortega, Shashank N. Sridhara, Raghavendra Singh et al.
1 citations
Advanced Vision and Imaging
0.25
article

Color-Guided Flying Pixel Correction in Depth Images

Eduardo Pavéz, Antonio Ortega, Shashank N. Sridhara, Raghavendra Singh, Ekamresh Vasudevan, Srinath Kalluri
article en
1 citations

Abstract

We present a novel method to correct flying pixels within data captured by Time-of-flight (ToF) sensors. Flying pixel (FP) artifacts occur when signals from foreground and background objects reach the same sensor pixel, leading to a confident yet incorrect depth estimation in space-floating between two objects. Commercial RGB-D cameras have a complementary setup consisting of ToF sensors to capture depth in addition to RGB cameras. We propose a novel method to correct FPs by leveraging the aligned RGB and depth image in such RGB-D cameras to estimate the true depth values of FPs. Our method defines a 3D neighborhood around each point, representing a “field of view” that mirrors the acquisition process of ToF cameras. We propose a two-step iterative correction algorithm in which the FPs are first identified. Then, we estimate the true depth value of FPs by solving a least-squares optimization problem. Experimental results show that our proposed algorithm estimates the depth value of FPs as accurately as other algorithms in the literature.

University of Southern California (US)
Openalex Percentile: Top 45%
Advanced Vision and Imaging
0.25
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Color-Guided Flying Pixel Correction in Depth Images — Eduardo Pavéz, Antonio Ortega, et al. · (2024) | TGRS Research Map | TGRS