Automated Camera Rig Parameter Optimization for Autostereoscopic 3D
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Solution Overview
Problem
The manual construction and testing of camera rigs for glasses-free 3D displays are time-consuming and inefficient, as creators must meticulously adjust multiple viewpoints to achieve a proper 3D effect, which hinders the adoption of advanced 3D technologies in spatial computing systems like Augmented Reality and Virtual Reality.
Innovation Solution
A system and method that utilize a camera rig with multiple cameras and visual guides to automatically optimize parameters such as focal length, interocular distance, and orientation in real-time, generating multiple perspectives to create a three-dimensional visualization within a virtual environment, allowing for real-time adjustments and synchronization of camera rig parameters to define an optimal volumetric space for 3D content production.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual construction of camera rigs is used, then flexibility in adjusting viewpoints is maintained, but time consumption increases significantly
Solution Approach 1:
The system pre-configures camera rigs with automatically calculated parameters based on the selected display device and content type. The camera positions, angles, and focal lengths are determined in advance through computational algorithms, eliminating the need for manual adjustment while maintaining optimal viewing geometry for the target application.
Solution Approach 2:
The system incorporates real-time feedback mechanisms that automatically adjust camera parameters based on detected scene characteristics and display device properties. When users make initial selections about the desired output format, the system feeds back calculated optimal parameters and allows iterative refinement, significantly reducing manual construction time while preserving flexibility.
2Manufacturing precision
If multiple viewpoints are manually tested and adjusted, then proper 3D effect is achieved, but productivity decreases
Solution Approach 1:
The patent replaces manual mechanical adjustment of camera positions and angles with automated computational algorithms. The system calculates optimal camera parameters based on mathematical models of human vision and display characteristics, generating precise viewpoint configurations without requiring manual testing and adjustment, thereby maintaining 3D quality while dramatically improving productivity.
Solution Approach 2:
The system automatically modifies multiple camera parameters simultaneously (positions, orientations, focal lengths, apertures) based on selected display device characteristics and content type. This coordinated parameter adjustment ensures proper 3D effects are achieved consistently across different output formats without requiring manual iteration and testing for each parameter combination.
3Adaptability or versatility
If camera rig parameters are manually adjusted, then adaptability to different display devices is maintained, but complexity of the process increases
Solution Approach 1:
The system implements a universal camera rig configuration tool that handles multiple display device types (VR headsets, AR glasses, holographic displays, traditional monitors) through a single integrated interface. The same software platform automatically adapts camera parameters for different devices using built-in device profiles and computational geometry algorithms, eliminating the need for separate manual configuration processes for each display type.
Solution Approach 2:
The patent introduces an intermediary computational layer between the user's creative intentions and the final camera configuration. This intermediary system translates high-level device selections and content type inputs into precise camera parameters through automated calculations, shielding users from the complexity of manual parameter adjustment while maintaining full adaptability across different display technologies.
Data Source
AI summary
A system for visualization includes a camera rig having a plurality of cameras that capture images from one or more perspectives; and at least two visual guides defining a volumetric space within an environment that may be physical, virtual, and/or a hybrid of the two and associated with the camera rig. The volumetric space is updated based on changes to one or more parameters associated with camera rig, manually, automatically, and/or in real-time.