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January 1, 2026International Journal of Wireless and Mobile Computing

Construction of depth estimation teaching platform based on improved LapDepth algorithm

Lichuan Ning Yuanmin Xie Jinjin Li Bo Tao Du Jiang Juntong Yun L. Q. Huang

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Key Points

The aim is to construct a teaching platform that utilizes the improved LapDepth algorithm for depth estimation.
Developed a teaching platform integrating improved LapDepth algorithm for depth estimation.
Utilized machine learning techniques to enhance performance.
Employed user feedback to iterate and improve the platform functionality.
The improved platform significantly increased user comprehension of depth estimation.
Reported an increase in accuracy of depth estimation by 20% using the new algorithm.

Implication

Develops a depth estimation teaching platform, suggesting enhanced educational outcomes in AI applications.

Abstract

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Cite This Study

Ning et al. (2026) studied this question.

synapsesocial.com/papers/6a0ff496d674f7c03778dbd3 https://doi.org/10.1504/ijwmc.2026.10078587

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