3D Model Annotation with 2D Signs of Use
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Solution Overview
Problem
3D models often lack signs of use, such as wear and tear or damage, which are not captured in their idealized representations, making them less accurate for simulating real-world objects and assessing their condition.
Innovation Solution
A method that annotates 3D models with signs of use by projecting and matching signs from 2D images, allowing for deformation of the 3D model to accurately represent real-world instances, using data processing apparatus to compute and compare positions of signs in larger and smaller field of view images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If 3D models are used as idealized abstractions for design and testing, then manufacturing precision and design accuracy are improved, but the models fail to capture signs of use such as wear and tear, reducing their reliability for simulating real-world conditions
Solution Approach 1:
The system performs preliminary action by capturing signs of use (wear, tear, damage) on real-world objects before they are incorporated into the 3D model. 2D images documenting these signs are collected and processed in advance, allowing the model to be updated with realistic features before simulation or assessment tasks begin, thereby improving simulation fidelity without compromising design precision
Solution Approach 2:
The system creates a copy of the real-world object's surface characteristics by projecting 2D images containing signs of use onto the 3D model. This copying process transfers visual information about wear and tear from physical photographs to the digital model, enabling the model to reflect actual condition while maintaining its idealized geometric structure for design purposes
2Measurement precision
If 2D images with sufficient resolution and adequate perspective are used to capture signs of use, then annotation accuracy is improved, but the complexity of processing and matching signs across multiple images increases
Solution Approach 1:
The system uses an intermediary approach by introducing a structured annotation framework that bridges 2D images and 3D models. The process involves intermediate steps of detecting signs in 2D images, projecting them onto the 3D model surface, and validating matches through multiple image comparisons. This intermediary structure manages complexity by breaking down the annotation task into discrete, manageable operations
Solution Approach 2:
The system implements feedback mechanisms by comparing projected signs of use across multiple 2D images to verify accuracy. The process uses feedback loops where initial projections are validated against additional images, and mismatches trigger refinements in pose estimation or projection parameters, thereby improving annotation accuracy while systematically managing processing complexity through iterative verification
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for annotation of 3D models with signs of use that are visible in 2D images. In one aspect, methods are performed by data processing apparatus. The methods can include projecting signs of use in a relatively larger field of view image of an instance of an object onto a 3D model of the object based on a pose of the instance in the relatively larger field of view image, and estimating a relative pose of the instance of the object in a relatively smaller field of view image based on matches between the signs of use in the relatively larger field of view image and the same signs of use in the relatively smaller field of view image.