Evaluation of CNN-Based Human Pose Estimation for Body Segment Lengths Assessment
TypeCommunications avec actes
Human pose estimation (HPE) methods based on convolutional neural networks (CNN) have demonstrated significant progress and achieved state-of-the-art results on human pose datasets. In this study, we aimed to assess the perfor-mance of CNN-based HPE methods for measuring anthropometric data. A Vicon motion analysis system as the reference system and a stereo vision system recorded ten asymptomatic subjects standing in front of the stereo vision system in a static posture. Eight HPE methods estimated the 2D poses which were transformed to the 3D poses by using the stereo vision system. Percentage of correct keypoints, 3D error, and absolute error of the body segment lengths are the evaluation measures which were used to assess the results. Percentage of correct keypoints – the stand-ard metric for 2D pose estimation – showed that the HPE methods could estimate the 2D body joints with a minimum accuracy of 99%. Meanwhile, the average 3D error and absolute error for the body segment lengths are 5 cm.
Showing items related by title, author, creator and subject.
Quasi-automatic early detection of progressive idiopathic scoliosis from biplanar radiography: a preliminary validation VERGARI, Claudio; GAJNY, Laurent; COURTOIS, Isabelle; EBERMEYER, Eric; ABELIN-GENEVOIS, Kariman; KIM, Youngwoo; LANGLAIS, Tristan; VIALLE, Raphaël; ASSI, Ayman; GHANEM, Ismat; DUBOUSSET, Jean; SKALLI, Wafa (2019)Purpose To validate the predictive power and reliability of a novel quasi-automatic method to calculate the severity index of adolescent idiopathic scoliosis (AIS). Methods Fifty-five AIS patients were prospectively ...
VERGARI, Claudio; SKALLI, Wafa; GAJNY, Laurent (Springer, 2020)Purpose The aim of this work is to propose a classiﬁcation algorithm to automatically detect treatment for scoliosis (brace, implant or no treatment) in postero-anterior radiographs. Such automatic labelling of radiographs ...
Vertebral rotation estimation from frontal X-rays using a quasi-automated pedicle detection method EBRAHIMI, Shahin; GAJNY, Laurent; VERGARI, Claudio; ANGELINI, Elsa; SKALLI, Wafa (Springer, 2019)Purpose Measurement of vertebral axial rotation (VAR) is relevant for the assessment of scoliosis. Stokes method allows estimating VAR in frontal X-rays from the relative position of the pedicles and the vertebral body. ...
YANG, Zixin; SKALLI, Wafa; VERGARI, Claudio; ANGELINI, Elsa; GAJNY, Laurent (Springer International Publishing, 2019)Manually annotating medical images with few landmarks to initialize 3D shape models is a common practice. For instance, when reconstructing the 3D spine from biplanar X-rays, the spinal midline, passing through vertebrae ...
EBRAHIMI, Shahin; ANGELINI, Elsa; GAJNY, Laurent; SKALLI, Wafa (IEEE, 2016)3D reconstruction of the spine using biplanar X-rays remains approximate and requires human-machine interactions to adjust the position of important features such as vertebral corners and endplates. The purpose of this ...