Position Estimation Using Synchronized Imaging
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Solution Overview
Problem
Existing image comparison techniques for estimating the position of a captured image struggle with accuracy due to differences in time and weather conditions, as well as variations in shadowing methods and object inclusion, making it difficult to accurately match images captured at the same location.
Innovation Solution
An information processing apparatus and method that estimates the position of a second imaging apparatus based on a first captured image and a second captured image taken at a corresponding time, allowing for improved matching by considering images with similar time and weather conditions, shadowing methods, and object inclusion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If images stored in a database are compared with a captured image using date and time or weather conditions as selection criteria, then the number of comparison targets can be reduced, but the accuracy of position estimation deteriorates because images captured at different times have different shadowing methods, hiding relations with other objects, and object inclusion
Solution Approach 1:
The system performs preliminary action by capturing a reference image at the same location and time as the target captured image, before conducting the comparison. This preliminary capture ensures that shadowing methods, object hiding relations, and object inclusion are identical between the reference and target images, thereby maintaining high position estimation accuracy while still limiting comparisons to a manageable set of location-matched images.
2Quantity of substance
If images captured at different times are compared, then more images can be used for comparison, but the reliability of position estimation deteriorates due to changes in shadowing methods, hiding relations with other objects, and object inclusion
Solution Approach 1:
The system applies local quality by selecting comparison images based on specific local conditions - specifically, images captured at the same geographical location and time. This ensures that local factors such as shadowing methods, object hiding relations, and object inclusion remain consistent between the reference and target images, thereby maintaining high reliability in position estimation while allowing comparisons across different datasets.
Data Source
AI summary
Provided is an information processing apparatus, including a position estimating unit configured to estimate a position of a second imaging apparatus on the basis of a first captured image captured by a first imaging apparatus whose position is specified and a second captured image captured at a time corresponding to the first captured image by the second imaging apparatus serving as a position estimation target.