High-Precision Depth Estimation Networks Using Low-Resolution Depth and RGB Image Sensors for Low-Cost Mixed Reality Glasses

High-Precision Depth Estimation Networks Using Low-Resolution Depth and RGB Image Sensors for Low-Cost Mixed Reality Glasses

In recent years, with the booming development of the three-dimensional and mixed reality (MR) industries, depth estimation tools have become increasingly important to support many visual problems. Intrinsically, the restriction of computational resources hardly lets complex depth completion methods...

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Bibliographic Details
Main Authors: Wei-Jong Yang, Hsuan Tsai, Din-Yuen Chan
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
deep learning
depth estimation
depth completion
dual-path autoencoder
adaptive bin depth estimator
mixed reality
Online Access:https://www.mdpi.com/2076-3417/15/11/6169
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