Ground Truth Engine for 3D Model Fitting with Human Feedback
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Solution Overview
Problem
Obtaining highly accurate ground truth data for 3D model fitting is difficult and expensive, which is crucial for applications like machine learning and film industry tasks such as avatar animation and 3D motion capture.
Innovation Solution
A ground truth engine that utilizes a processor to compute ground truth values of 3D model parameters by incorporating human feedback through an iterative optimization process, using a penalty function to refine the model fit based on human annotations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional automated optimization methods are used for 3D model fitting, then computational efficiency is maintained, but measurement precision of ground truth data deteriorates
Solution Approach 1:
The system implements feedback by incorporating human annotations about the accuracy of computed parameter values into the optimization process. Human feedback is aggregated with the energy function through penalty functions, allowing the system to iteratively improve ground truth data accuracy by adjusting model parameters based on human expert input while maintaining automated processing.
2Measurement precision
If human feedback is incorporated into the optimization process, then ground truth data accuracy is improved, but processing time increases
Solution Approach 1:
The system applies partial human feedback rather than requiring complete human annotation of all parameter values. By selectively incorporating human feedback only where needed to improve accuracy and aggregating it with automated optimization through energy functions, the system achieves high ground truth accuracy without the excessive processing time that would result from fully manual annotation of all parameters.
Data Source
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AI summary
A ground truth engine is described which has a memory holding a plurality of captured images depicting an articulated item. A processor of the engine is configured to access a parameterized, three dimensional (3D) model of the item. An optimizer of the ground truth engine is configured to compute ground truth values of the parameters of the 3D model for individual ones of the captured images, such that the articulated item depicted in the captured image fits the 3D model, the optimizer configured to take into account feedback data from one or more humans, about accuracy of a plurality of the computed values of the parameters.