Holographic Projection Scaling Through Depth-Based Object Correlation
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Solution Overview
Problem
The challenge in front-projected holographic display systems is the difficulty in controlling the imaging ratio of holographic projection images under varying environmental conditions, which affects interaction quality between the user and the holographic projection image.
Innovation Solution
A method involving obtaining depth data for both a reference and remote object, determining a scaling ratio based on these data, and performing holographic projection to achieve a correlated projection image, using depth cameras and potentially color cameras for data collection and adjustment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If holographic projection is performed without depth-based scaling control, then the projection process is simple, but the imaging ratio cannot be controlled under varying environmental conditions, affecting interaction quality
Solution Approach 1:
The system performs preliminary depth detection and scaling ratio calculation before holographic projection. The processor obtains depth data of the target object, calculates the appropriate scaling ratio based on this depth information, and pre-adjusts the projection parameters. This preliminary action ensures that the imaging ratio is properly controlled before the actual projection occurs, resolving the contradiction between precision control and system complexity.
Solution Approach 2:
The system implements a feedback mechanism where depth data is continuously obtained during the projection process, and the scaling ratio is dynamically adjusted based on this feedback. The processor monitors the depth information and modifies the projection parameters in real-time to maintain the desired imaging ratio. This feedback loop enables precise control of the imaging ratio while managing system complexity through intelligent adaptation.
2Measurement precision
If depth detection and scaling ratio calculation are added to control imaging ratio, then imaging quality improves, but system complexity and processing requirements increase
Solution Approach 1:
The processor is designed to perform multiple functions: it handles depth data acquisition, scaling ratio calculation, and projection parameter adjustment all through a single processing unit. This multi-functionality reduces the need for separate dedicated components for each function, thereby improving measurement precision while minimizing the increase in overall system complexity.
Solution Approach 2:
The system controls imaging quality by dynamically changing the scaling ratio parameter based on detected depth data. Instead of adding complex hardware, the solution involves adjusting the scaling ratio parameter according to the depth information. This parameter-based control achieves high measurement precision with relatively simple system architecture, as it relies on software-based parameter adjustment rather than complex hardware additions.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This method ensures that the projection image maintains a desired effect by correlating the remote object with the reference object, enhancing interaction quality and realism in holographic displays.
Implementation Method 1
obtaining a first depth data corresponding to a reference object; obtaining a second depth data corresponding to a remote object
Implementation Method 2
uses interference and diffraction principles to record and reproduce a real three-dimensional image of an object
Implementation Method 3
uses interference and diffraction principles to record and reproduce a real three-dimensional image of an object
Data Source
AI summary
Projection control method, electronic device, and storage medium are provided. The projection control method includes obtaining a first depth data corresponding to a reference object; obtaining a second depth data corresponding to a remote object; determining a first scaling ratio corresponding to the remote object according to the first depth data and the second depth data; and performing a holographic projection on the remote object according to the first scaling ratio and the second depth data, to obtain a first projection image.