Pose-Based Image Retrieval for Verifying Human Pose Estimation
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Solution Overview
Problem
Existing technologies face challenges in accurately estimating the pose of a capture target person in an image, as the correctness of pose estimation is not reliably verified, leading to inaccuracies in determining similar poses or actions.
Innovation Solution
An information processing apparatus and method that includes a pose acquisition unit to acquire pose information from reference and query images, a retrieval unit to find similar poses based on similarity degrees, and a display control unit to display the pose information for retrieval, enhancing accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If pose estimation is performed using existing image processing techniques, then pose information can be obtained from images, but the accuracy of pose estimation cannot be verified or improved
Solution Approach 1:
The system retrieves reference images with similar poses from a database and displays them alongside the query image. This feedback mechanism allows users to verify whether the estimated pose is correct by comparing it with actual reference images, thereby improving both the verification capability and the accuracy of pose estimation through iterative refinement.
Solution Approach 2:
The system pre-collects and stores reference images with known correct pose information in a database before the actual pose estimation task. This preliminary preparation enables subsequent verification and accuracy improvement by having ground truth data readily available for comparison with estimation results.
2Measurement precision
If pose estimation is performed without reference verification, then the processing speed is maintained, but the accuracy of pose estimation remains insufficient
Solution Approach 1:
The system performs pose estimation on only certain selected images or in certain scenarios where verification is particularly valuable, rather than applying the full verification process to every single image. This partial application of the verification mechanism maintains overall processing efficiency while still improving accuracy in critical cases.
3Measurement precision
If reference images are retrieved and displayed for verification, then pose estimation accuracy can be improved, but the system complexity increases
Solution Approach 1:
The system employs a multi-functional architecture where the image database serves both as a storage repository and as an active verification tool. The retrieval unit and display unit enable the same database infrastructure to support both routine operations and accuracy verification, reducing the need for separate dedicated verification components.
Data Source
AI summary
An information processing apparatus includes a pose acquisition unit, a retrieval unit, and a display control unit. The pose acquisition unit acquires first pose information indicating a pose of a person shown in each of a plurality of reference images associated with a predetermined pose, and second pose information indicating a pose of a capture target person shown in a query image. The retrieval unit retrieves a reference image showing a person whose pose or action is similar to that of the capture target person shown in the query image, from among the plurality of reference images, based on a similarity degree between the first pose information and the second pose information. The display control unit causes a display unit to display at least one of the first pose information and the second pose information in a display mode according to an index used for retrieving the reference image.