3D Representation Generation from Incomplete Images
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Solution Overview
Problem
Current methods for generating 3D representations of real-world structures from 2D digital images are inefficient and often produce inaccurate results, especially when high-quality images or images depicting every side of the structure are not available, leading to difficulties in deriving accurate building measurements or estimating renovation costs.
Innovation Solution
The technique involves determining the structure category of a building based on geometric constraints, which allows for the generation of a 3D representation even when not all sides or corners are depicted in the images, by using metadata and landmark identification to infer missing information and compensate for incomplete image data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If typical 2D image techniques are used to generate 3D representations, then the process is simple and fast, but the accuracy of the 3D representation deteriorates when images are incomplete or low quality
Solution Approach 1:
The patent introduces an intermediary validation process that checks whether the available 2D images contain sufficient information to generate an accurate 3D representation. This intermediary step analyzes image quality and completeness metrics before committing to the 3D generation process, allowing the system to either request additional images or use alternative methods when image quality is insufficient, thereby maintaining both efficiency and accuracy.
Solution Approach 2:
The patent performs preliminary analysis of the 2D images to determine if they meet quality thresholds before attempting 3D reconstruction. By pre-evaluating image completeness, resolution, and geometric constraints in advance, the system可以避免 wasting computational resources on inadequate image sets and can proactively request additional images or adjust processing parameters to ensure accurate 3D representation generation.
2Measurement precision
If complete and high-quality images of all building sides are required, then the accuracy of 3D representation improves, but the time and resources required increase significantly
Solution Approach 1:
The patent implements a partial action approach by determining whether complete images of all building sides are actually necessary for the intended application. The system evaluates if partial image sets suffice for generating adequately accurate 3D representations for specific use cases, allowing users to obtain useful 3D models from incomplete image sets when full completeness is not required, thereby reducing time and resource requirements while maintaining acceptable accuracy levels.
Solution Approach 2:
The patent changes the parameter of image completeness requirements by introducing adjustable accuracy thresholds and quality metrics. Instead of requiring 100% complete images of all building sides, the system allows flexibility in image set completeness based on the desired output accuracy level, enabling users to balance between image collection effort and final representation quality according to their specific needs.
3Ease of operation
If images with obscured portions or tilted capture are used, then the ease of data collection improves, but the accuracy of derived building measurements deteriorates
Solution Approach 1:
The patent incorporates feedback mechanisms that analyze the quality of captured images and provide guidance on whether the images meet the necessary criteria for accurate measurement derivation. The system evaluates image metrics such as orientation, obscuration levels, and geometric constraints, then provides feedback to users about image quality issues and suggests corrective actions or indicates when additional images are needed, thereby maintaining measurement accuracy while preserving operational ease.
Data Source
AI summary
A computer system maintains structure data indicating geometrical constraints for each structure category of a plurality of structure categories. The computer system generates a virtual 3D representation of a structure based on a set of images depicting the structure. For each image in the set of images, one or more landmarks are identified. Based on the landmarks, a candidate structure category is selected. The virtual 3D representation is generated based on the geometrical constraints of the candidate structure category and the landmarks identified in the set of images.