3D Model Image Overlay Pose Alignment
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Solution Overview
Problem
Current 3D models lack the ability for seamless integration of user-uploaded images without visible artifacts, as existing techniques fail to align images perfectly with the model's geometry and lighting conditions.
Innovation Solution
A system that allows users to upload and align images by determining their pose using a combination of human estimation and automated feature matching, with metadata filtering and transparency control, ensuring images appear as perfectly aligned overlays within the 3D model.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple images are integrated into the same model, then the quantity of information is increased, but time artifacts occur when images are captured at different times
Solution Approach 1:
The system segments images by time and separates them into different temporal layers within the 3D model. Images are organized by their capture time, allowing users to navigate through different time periods separately. This segmentation prevents time artifacts by maintaining distinct temporal contexts rather than mixing images from different times in a single integrated layer.
Solution Approach 2:
The system introduces dynamic temporal navigation capabilities, allowing users to interact with images across different time periods dynamically. Users can switch between images captured at different times through a temporal interface, creating a dynamic viewing experience that adapts to user needs while maintaining temporal integrity and preventing artifacts.
2Loss of information
If images are manually or automatically filled in, then missing information is completed, but the complexity of the process increases
Solution Approach 1:
The system performs preliminary actions by pre-processing uploaded images to extract keyframe information, pose data, and temporal metadata before integration. This preliminary extraction and organization of image data reduces the complexity of the overall integration process, as the system only needs to place pre-processed images into their correct temporal and spatial contexts rather than processing everything in real-time.
Solution Approach 2:
The system introduces an intermediary processing layer that handles the complexity of image integration. This intermediary system automatically matches uploaded images with corresponding 3D model frames, determines correct poses, and organizes them temporally. This intermediary layer absorbs the complexity of the integration process, presenting a simple interface to users while handling the intricate matching and organization tasks behind the scenes.
3Quantity of substance
If images are overlaid on the 3D model, then the visual information is enhanced, but alignment precision deteriorates without perfect pose matching
Solution Approach 1:
The system replaces manual or simple automated overlay mechanisms with a computational vision-based pose matching system. By using feature detection, recognition, and 3D pose estimation algorithms, the system automatically determines the precise pose of each uploaded image relative to the 3D model. This substitution of mechanical overlay processes with intelligent computational matching achieves high alignment precision while maintaining enhanced visual information.
Data Source
AI summary
The present disclosure provides techniques that can enable a community of users to upload arbitrary images of particular locations and integrate them into a 3D model of that location in such a way that they appear as correctly aligned overlays with the model. Users can estimate rough location, orientation, and field of view, for one or more images and then add metadata such as keyword “tags” including time parameters. From the user estimates, a computer system determines the pose of the image relative to the 3D model and stores the metadata. A display system enables a community of users to freely navigate through the 3D model with visual indicators of all of the posed images, filterable via the metadata. Users also have control over a “snap-to-view” feature as they approach any of the posed images as well as a transparency feature for the degree of visibility of the overlaid image.