Total Depth Map Alignment for Multi-Camera 3D Monitoring
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Solution Overview
Problem
Existing camera surveillance systems struggle to accurately transform two-dimensional monitoring areas into three-dimensional spaces, particularly in evaluating and improving depth maps, leading to inaccuracies and a lack of intuitive understanding for surveillance personnel.
Innovation Solution
A method that involves detecting objects within a monitoring area, recognizing their class and position, and using polyhedra to improve the depth map, combined with a fusion of depth and image information to create a 3D visualization model, utilizing AI and scaling techniques to align depth maps in a common coordinate system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple monitoring cameras are used to cover large monitoring areas, then the coverage area increases, but the accuracy and consistency of the total depth map deteriorates due to difficulties in aligning multiple depth maps in a common coordinate system
Solution Approach 1:
The patent combines multiple individual depth maps from different monitoring cameras into a single total depth map by transforming them into a common coordinate system. This merging process integrates depth information from multiple sources while maintaining consistency across the entire monitoring area, resolving the contradiction between expanded coverage and maintained precision.
Solution Approach 2:
The patent introduces a common coordinate system as an intermediary framework to align and integrate depth maps from multiple cameras. This intermediary coordinate system serves as a reference frame that enables accurate transformation and merging of depth information, ensuring that depth accuracy is preserved even as the monitoring area expands.
2Area of stationary object
If depth maps from multiple cameras are transformed into a common coordinate system, then the total depth map coverage improves, but the complexity of the processing system increases
Solution Approach 1:
The patent creates a universal coordinate system that serves multiple functions: it acts as a common reference frame for all cameras, enables transformation of individual depth maps, and facilitates merging into a total depth map. This multi-functional approach consolidates what would otherwise require multiple separate processing systems, reducing overall complexity while achieving comprehensive coverage.
3Ease of operation
If 3D visualization models are created from depth maps, then the intuitiveness for surveillance personnel improves, but the processing time and computational resources increase
Solution Approach 1:
The patent performs preliminary transformation and merging of depth maps into a total depth map in the common coordinate system before creating the final 3D visualization. This preliminary processing organizes and prepares the data structure, making subsequent 3D visualization faster and more efficient, thus reducing the time loss while maintaining high intuitiveness.
Data Source
AI summary
A method for evaluating and/or improving a total depth map of a monitoring area, wherein the total depth map of the monitoring area is provided, wherein at least one object is detected in the monitoring area, wherein the total depth map is evaluated and/or improved based on the detected object.