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Conference Paper Enhancing Keypoint Detection Accuracy Using Pose Estimation in Pressure Images
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Authors
Yun ji Ban, Seihyoung Lee, Jiwon Park, Hongyeon Yu
Issue Date
2024-10
Citation
International Conference on Information and Communication Technology Convergence (ICTC) 2024, pp.2227-2228
Publisher
IEEE
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/ICTC62082.2024.10827473
Abstract
We extracted keypoints from pressure images with less information compared to typical RGB images. Therefore, the initial keypoint extraction results are not accurate. To improve accuracy, we estimated the pose and then applied post-processing based on the pose estimation results. The post-processing involved calculating the average value of keypoints for each pose and correcting the keypoints with low extraction scores by replacing them with these average values, thereby enhancing the overall accuracy of the keypoints extraction.
KSP Keywords
Detection accuracy, Keypoint extraction, Pose estimation, Post-Processing, RGB image, keypoint detection, overall accuracy