Results 1 to 10 of about 18,146 (218)
Occlusion Resilient 3D Human Pose Estimation
2024 International Conference on 3D Vision (3DV)Occlusions remain one of the key challenges in 3D body pose estimation from single-camera video sequences. Temporal consistency has been extensively used to mitigate their impact but the existing algorithms in the literature do not explicitly model them. Here, we apply this by representing the deforming body as a spatio-temporal graph.
Roy, Soumava Kumar +3 more
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Test-Time Adaptation for 3D Human Pose Estimation [PDF]
, 2014 In this paper we consider the task of articulated 3D human pose estimation in challenging scenes with dynamic background and multiple people. Initial progress on this task has been achieved building on discriminatively trained part-based models that deliver a set of 2D body pose candidates that are then subsequently refined by reasoning in 3D [1, 4, 5].
Sikandar Amin +3 more
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3D Human Pose Estimation: A Survey
Frontiers in Computing and Intelligent Systems, 2023 This comprehensive review article explores the latest research advancements in the realm of estimating 3D human pose. Traditional methods such as PSM, SVM are discussed. Besides, this review also talks about deep learning-based approaches, including direct approaches, 2D-to-3D lifting and volumetric model approach for single person, top-down approaches
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A Survey on 3D Egocentric Human Pose Estimation
2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)Egocentric human pose estimation aims to estimate human body poses and develop body representations from a first-person camera perspective. It has gained vast popularity in recent years because of its wide range of applications in sectors like XR-technologies, human-computer interaction, and fitness tracking.
Md Mushfiqur Azam, Kevin Desai
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Exploiting Temporal Information for 3D Human Pose Estimation [PDF]
, 2018 In this work, we address the problem of 3D human pose estimation from a sequence of 2D human poses. Although the recent success of deep networks has led many state-of-the-art methods for 3D pose estimation to train deep networks end-to-end to predict from images directly, the top-performing approaches have shown the effectiveness of dividing the task ...
Mir Rayat Imtiaz Hossain +1 more
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A Systematic Review of Recent Deep Learning Approaches for 3D Human Pose Estimation. [PDF]
J Imaging, 2023 El Kaid A, Baïna K.
europepmc +1 more source
PosturePose: Optimized Posture Analysis for Semi-Supervised Monocular 3D Human Pose Estimation. [PDF]
Sensors (Basel), 2023 Amadi L, Agam G.
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DUA: A Domain-Unified Approach for Cross-Dataset 3D Human Pose Estimation. [PDF]
Sensors (Basel), 2023 Manesco JRR, Berretti S, Marana AN.
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Extracting spatial knowledge from track and field broadcasts for monocular 3D human pose estimation. [PDF]
Sci Rep, 2023 Baumgartner T, Paassen B, Klatt S.
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Precise 3D Pose Estimation of Human Faces [PDF]
Proceedings of the 9th International Conference on Computer Vision Theory and Applications, 2014 Ákos Pernek, Levente Hajder
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