Volumetric Stage Calibration for AR 3D Reconstruction Accuracy
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Solution Overview
Problem
Current three-dimensional reconstruction techniques in augmented reality struggle with accuracy, particularly due to inaccuracies in correspondence matching processes and varying reconstruction quality across different positions on a volumetric capture stage, which affects the realism of virtual objects in AR scenes.
Innovation Solution
The use of a calibration object with diverse features, moved across a volumetric capture stage, allows for the generation of ground-truth representations and reconstruction quality information, enabling quantitative assessment of reconstruction accuracy and improving the generation of accurate three-dimensional models through image sensors and photogrammetry techniques.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If three-dimensional reconstruction techniques are used in augmented reality, then virtual objects can be presented in the real world, but reconstruction accuracy deteriorates due to correspondence matching inaccuracies and varying quality across different positions on the capture stage
Solution Approach 1:
The patent applies preliminary action by performing calibration before actual three-dimensional reconstruction. A calibration object with known ground-truth geometry is captured from multiple positions and orientations to pre-determine the accuracy characteristics of each location on the volumetric capture stage. This preliminary calibration data is then used to guide subsequent reconstruction processes, ensuring that objects are placed in optimal positions and algorithms are adjusted to achieve consistent high accuracy across the entire stage.
Solution Approach 2:
The patent implements feedback by using the calibration results to continuously improve reconstruction quality. The system determines reconstruction quality information based on comparing reconstructed calibration objects with their ground-truth representations, then uses this feedback to adjust reconstruction algorithms and guide object placement. This closed-loop approach ensures that accuracy issues are identified and corrected, maintaining high realism for virtual objects throughout the AR experience.
2Manufacturing precision
If image sensors are positioned about the calibration object to obtain multiple images, then three-dimensional representation can be generated, but device complexity increases
Solution Approach 1:
The patent applies universality by using a single movable calibration object to serve multiple functions: it calibrates the entire volumetric capture stage, determines reconstruction quality at all positions, and provides ground-truth data for algorithm optimization. This single object replaces the need for multiple fixed calibration devices or complex sensor arrays, achieving comprehensive calibration while minimizing device complexity.
Solution Approach 2:
The patent uses parameter changes by varying the position and orientation of the calibration object throughout the volumetric capture stage during calibration. By systematically changing these parameters, the system captures comprehensive data about reconstruction quality across all locations and viewing angles, enabling accurate characterization of the entire capture volume without requiring sensors at every position.
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 approach enhances the accuracy of three-dimensional representations by providing quantitative measures of reconstruction quality, allowing for improved placement of real-world objects on the capture stage and adjustment of reconstruction algorithms, thereby increasing the realism of AR scenes.
Implementation Method 1
obtaining a plurality of images of a calibration object, the images being obtained from a plurality of image sensors positioned about the calibration object
Implementation Method 2
generating, based on the images, a reconstructed object associated with the calibration object, the reconstructed object representing a three-dimensional representation of the calibration object
Data Source
AI summary
Enhanced techniques for volumetric stage mapping based on a calibration object are described. An example method includes obtaining a plurality of images of a calibration object, the images being obtained from a plurality of image sensors positioned about the calibration object, and the calibration object having location information associated with a volumetric capture surface on which the calibration object is located; generating, based on the images, a reconstructed object associated with the calibration object, the reconstructed object representing a three-dimensional representation of the calibration object; determining reconstruction quality information associated with the reconstructed object, the determination being based on a ground-truth representation of the calibration object; and outputting the reconstruction quality information.