Long-Range depth estimation using learning based Hybrid Distortion Model for CCTV cameras
Published:Dec 19, 2025 16:54
•1 min read
•ArXiv
Analysis
This article describes a research paper on depth estimation for CCTV cameras. The core of the research involves a learning-based hybrid distortion model. The focus is on improving depth estimation accuracy over long distances, which is a common challenge in CCTV applications. The use of a hybrid model suggests an attempt to combine different distortion correction techniques for better performance. The source being ArXiv indicates this is a pre-print or research paper.
Key Takeaways
- •Focuses on depth estimation for CCTV cameras.
- •Employs a learning-based hybrid distortion model.
- •Aims to improve depth estimation accuracy over long distances.
Reference
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