3D Imaging via Sensor Pose Data Fusion
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing 3D imaging technologies face challenges in accurately generating 3D representations of objects with complex surfaces or orientations, as they struggle to differentiate between similar surfaces and determine the object's orientation, especially when sensors are involved in the imaging process.
Innovation Solution
The use of pose data generated from movement information, obtained via sensors coupled to the object, is integrated with image data to synchronize and combine images, allowing for the accurate generation of 3D images by characterizing the position and motion of the object, and removing or omitting sensor depictions to provide a clear 3D representation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If sensors are coupled to the object for movement detection, then movement data can be obtained for 3D imaging, but sensor depictions appear in the generated 3D images creating artifacts
Solution Approach 1:
The patent extracts and removes sensor depictions from the captured images before generating the final 3D representation. The system identifies sensor-related artifacts in the image data and selectively removes them, allowing movement data to be utilized while eliminating the harmful sensor visualizations from the final output.
2Loss of information
If multiple images are captured to cover complex surfaces, then more surface information is obtained, but it becomes difficult to differentiate between similar surfaces and determine orientation
Solution Approach 1:
The patent employs feedback mechanisms where pose data from movement information is continuously used to guide the imaging process and refine surface differentiation. The system uses detected surface features and orientation data to adjust subsequent imaging actions, creating a closed-loop system that progressively improves surface characterization while resolving ambiguities between similar surfaces.
Solution Approach 2:
The patent introduces pose data as an intermediary element that mediates between multiple captured images and the final 3D reconstruction. This intermediary information provides contextual orientation and position data that helps differentiate between similar surfaces by establishing their spatial relationships, making the reconstruction process more accurate even when surfaces appear similar.
3Manufacturing precision
If pose data is generated and integrated with image data, then accurate 3D representation is achieved, but device complexity increases
Solution Approach 1:
The patent merges pose data and image data into a unified processing framework, combining movement information with visual data to generate accurate 3D representations. By integrating these data streams systematically, the system achieves high manufacturing precision in 3D imaging while managing complexity through coordinated data fusion rather than separate processing pipelines.
Data Source
AI summary
Aspects of the disclosure are directed to methods and apparatuses involving 3D imaging. In accordance with certain aspects, a plurality of images of a 3D object are captured while movement of the 3D object is sensed by a sensor physically coupled thereto. The plurality of images include complementary portions and a feature of the 3D object. Pose data is generated for one of the plurality of images, based on data corresponding to the sensed movement and on the feature. The complementary portions are combined to generate a visual 3D image of the 3D object, based on the pose data.