Intra-Capture Camera Calibration Using Ordinary Objects
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Solution Overview
Problem
Conventional camera calibration methods require dedicated objects and offline calibration procedures, which are inconvenient and may not adapt well to changes in camera positions, lighting, or object movements during normal operation, leading to potential calibration issues and reduced accuracy.
Innovation Solution
Intra-capture camera calibration methods utilize ordinary objects intended for modeling, such as people and props, to initialize, maintain, and continuously refine camera calibration parameters, allowing for real-time adjustments and improved alignment with global and local dimensions without the need for dedicated calibration objects or sessions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional camera calibration methods using dedicated objects are used, then calibration accuracy can be achieved, but the process requires dedicated calibration objects and offline procedures, increasing device complexity and reducing ease of operation
Solution Approach 1:
The patent applies universality by enabling ordinary objects (people, props) to serve dual purposes: both as subjects for volumetric capture modeling and as calibration targets. This eliminates the need for separate dedicated calibration objects, reducing device complexity while maintaining calibration accuracy through the use of familiar scene objects.
Solution Approach 2:
The system performs self-service by automatically detecting and utilizing ordinary objects in the scene for calibration purposes without requiring manual intervention or separate calibration procedures. The calibration process is integrated into the normal volumetric capture operation, allowing the system to self-calibrate using objects already present in the scene.
2Reliability
If offline calibration procedures are used, then calibration can be performed, but the system cannot adapt to changes in camera positions, lighting, or object movements during normal operation, reducing reliability
Solution Approach 1:
The patent applies dynamics by transitioning from static offline calibration to dynamic intra-capture calibration. The system continuously monitors and updates calibration parameters during volumetric capture operation, adapting to changes in camera positions, lighting conditions, and object movements in real-time, thereby improving reliability without significant time loss.
Solution Approach 2:
The system maintains continuity of useful action by performing calibration operations concurrently with volumetric capture rather than requiring separate calibration sessions. The calibration process continues uninterrupted during normal operation, ensuring the system remains adapted to changing conditions without stopping capture activities.
3Ease of operation
If dedicated calibration objects are used, then calibration can be performed, but it inconveniences normal operation and reduces ease of operation during volumetric capture
Solution Approach 1:
The patent eliminates the inconvenience of dedicated calibration objects by making all objects in the scene (people, props) serve as both modeling targets and calibration references. This multi-functionality allows normal volumetric capture operations to continue uninterrupted while simultaneously performing calibration, greatly improving ease of operation and productivity.
Data Source
AI summary
An illustrative image processing system identifies an object depicted in an image captured by a camera. The image processing system locates, within the image, a set of calibration points corresponding to features of the object. Based on the set of calibration points, the image processing system performs a calibration operation with respect to the camera. Additionally, the image processing system generates model data based on the image. The model data is representative of a model of the object depicted in the image. Corresponding methods and systems are also disclosed.