Image Processing Landmark Validation for Pose Estimate Accuracy
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Solution Overview
Problem
Existing image processing techniques lack effective methods for characterizing the correctness of pose estimates and landmark recognition, which are crucial for improving various image processing tasks such as robotics, medical imaging, and self-driving vehicles.
Innovation Solution
A method for characterizing the correctness of image processing by receiving multiple images of an object at different relative poses, identifying landmarks, and comparing their positions to estimate and transfer relative poses, using external or internal information to correct for changes in position and orientation, and iteratively refining these estimates until a threshold level of correctness is reached.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pose estimation and landmark recognition are performed using existing image processing techniques, then image processing tasks can be executed, but the correctness and accuracy of pose estimates cannot be effectively characterized or improved
Solution Approach 1:
The patent implements feedback by comparing transferred pose estimates from a first image with pose estimates from a second image. The system calculates a correctness characterization based on the agreement between these independent estimates, creating a feedback loop that validates and improves measurement precision without requiring additional hardware or complex modifications to the imaging process.
2Measurement precision
If multiple images at different relative poses are used to characterize correctness, then accuracy of pose estimation improves, but processing time and computational complexity increase
Solution Approach 1:
The patent applies preliminary action by acquiring multiple images at different relative poses before performing the correctness characterization. By having these images ready in advance, the system can efficiently compute and compare pose estimates without time-critical processing during the actual measurement phase, reducing overall processing time while maintaining high accuracy.
3Reliability
If pose estimates are transferred based on difference in position or orientation, then correctness can be characterized across multiple images, but device complexity increases
Solution Approach 1:
The patent uses the difference in position or orientation between images as an intermediary to transfer pose estimates from one image to another. This intermediary approach allows the system to characterize correctness across multiple images without directly comparing complex pose parameters, simplifying the overall process while maintaining reliability.
Data Source
AI summary
A method for characterizing correctness of image processing includes receiving images of an instance of an object, wherein the images were acquired at different relative poses, identifying positions of corresponding landmarks on the object in each of the received images, receiving information characterizing a difference in position or a difference in orientation of at least one of the instance of the object and one or more imaging devices when the images were acquired, transferring the positions of landmarks identified in a first of the images based on the difference in position or the difference in orientation, and comparing the positions of the transferred landmarks with the positions of the corresponding of the landmarks identified in a second of the received images, and characterizing a correctness of the identification of the positions of the landmarks in at least one of the received images.