Dimension Extractable Object for Spatial Metadata Integration
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Solution Overview
Problem
Current technologies lack the ability to accurately capture and utilize spatial metadata with images, limiting applications such as e-commerce transactions and the creation of stitched images or three-dimensional models.
Innovation Solution
The development of a 'dimension extractable object' that combines 2D or 3D image data with spatial metadata, allowing for the capture, storage, and utilization of spatial information, including transactional metadata, to generate stitched images or 3D models.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If spatial metadata is captured and stored with image data, then measurement precision and manufacturing precision are improved, but device complexity and data processing complexity increase
Solution Approach 1:
The patent embeds spatial metadata directly within the image data structure, creating a nested organization where metadata is contained within the dimension extractable object. This allows precise spatial information to be integrated with image data without requiring separate storage systems, thereby improving measurement precision while managing device complexity through hierarchical organization.
Solution Approach 2:
The dimension extractable object is designed as a universal data structure that can accommodate multiple types of spatial metadata (distance, angle, position, orientation) and support multiple applications including photogrammetry, e-commerce transactions, and 3D model creation. This multi-functionality improves manufacturing precision across various applications while avoiding the need for separate specialized systems for each use case.
2Measurement precision
If spatial metadata is captured and stored with image data, then measurement precision is improved, but loss of time in data processing increases
Solution Approach 1:
The patent captures and stores spatial metadata simultaneously with image data acquisition, rather than processing it separately afterward. The dimension extractable object structure is designed to accept and organize spatial metadata during the initial capture phase, thereby improving measurement precision while minimizing time loss by avoiding subsequent separate processing steps.
3Adaptability or versatility
If dimension extractable objects encapsulate all spatial and transactional information, then adaptability and versatility are improved, but device complexity increases
Solution Approach 1:
The dimension extractable object is segmented into distinct functional components: image data, spatial metadata (distance, angle, position, orientation), and transactional metadata. This segmentation allows the integrated structure to achieve high adaptability across different applications while managing complexity through modular organization, where each component can be independently processed and validated.
Data Source
AI summary
The invention relates to capturing a still or moving image as well as object position and displacement data for the image, storing the image and the data as a dimension extractable object, and utilizing the dimension extractable object. In one embodiment, the dimension extractable object is used in a method of stitching a plurality of images together to form a stitched image. In another embodiment, the dimension extractable object is used in a method of generating a stitched image from a video image. In another embodiment, the dimension extractable object is used in a method of generating a three-dimensional model from a video image.