Enhancing Keypoint Detection Accuracy Using Pose Estimation in Pressure Images

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.

Authors

Institutions

Publication Details

Published
2024-10-16
DOI
https://doi.org/10.1109/ictc62082.2024.10827473
Primary Topic
Image and Object Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Keypoint Detection Accuracy Using Pose Estimation in Pressure Images

Seihyoung Lee, Yun ji Ban, Hongyeon Yu, Jiwon Park
Image and Object Detection Techniques
article

Enhancing Keypoint Detection Accuracy Using Pose Estimation in Pressure Images

Seihyoung Lee, Yun ji Ban, Hongyeon Yu, Jiwon Park
article en

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.

Electronics and Telecommunications Research Institute (KR)
Openalex Percentile: Top 75%
Image and Object Detection Techniques
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.