Results 201 to 210 of about 8,796 (251)
A unified multi-task learning framework for automated assessment of left ventricular structure and its systolic function from echocardiography. [PDF]
Khodaverdian Z +6 more
europepmc +1 more source
IHPP: Improved Human Parts as Points for Multi-Person Pose Regression. [PDF]
Xu H +6 more
europepmc +1 more source
Efficient Thermal Pose Estimation: Balancing Accuracy and Edge Deployment for Smart Home Activity Recognition. [PDF]
Vdoviak G +4 more
europepmc +1 more source
Curvature-based 3D dental comparison to identify trauma-induced surface changes in human teeth: a forensic comparison study [PDF]
Kofod Petersen A +3 more
europepmc +1 more source
3D Geometry-Aware Efficient Feature Matching for Weakly Textured Scenes. [PDF]
Sun L, Yan Y, Yang W, Qin W.
europepmc +1 more source
Enhanced keypoint recognition framework via multi-scale feature characteristics. [PDF]
Huang M, Gao J, Ma L.
europepmc +1 more source
Keypoint-Based Keyframe Selection [PDF]
Keyframe selection has been crucial for effective and efficient video content analysis. While most of the existing approaches represent individual frames with global features, we, for the first time, propose a keypoint-based framework to address the keyframe selection problem so that local features can be employed in selecting keyframes.
Dagan Feng, , Shiyang Lu
exaly +3 more sources
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2020 25th International Conference on Pattern Recognition (ICPR), 2021
We propose a new hierarchical method to match keypoints by exploiting information across multiple scales. Traditionally, for each keypoint a single scale is detected and the matching process is done in the specific scale. We replace this approach with matching across scale-space.
Sina Lotfian, Hassan Foroosh
openaire +1 more source
We propose a new hierarchical method to match keypoints by exploiting information across multiple scales. Traditionally, for each keypoint a single scale is detected and the matching process is done in the specific scale. We replace this approach with matching across scale-space.
Sina Lotfian, Hassan Foroosh
openaire +1 more source

