Multilinear pose and body shape estimation of dressed subjects from image sets

By Nils Hasler, Hanno Ackermann, Bodo Rosenhahn, Thorsten Thormählen, Hans-Peter Seidel. 2010

141 citations recorded by the source corpus.

Subfields: Computational Mechanics, Computer Vision and Pattern Recognition

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In Computational Mechanics

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Citations in the corpus

End-to-End Recovery of Human Shape and Pose (2017, methodology): “Methods that output more than 3D joints: There are multiple methods that fit a parametric body model to manually extracted silhouettes [8] and a few manually provided correspondences [12, 14].”
Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image (2016, methodology): “In similar work, Hasler et al. [16] ﬁt a parametric body model to silhouettes.”
Learning shape models for monocular human pose estimation from the Microsoft Xbox Kinect (2011, background): “Some recent works have used 3D scans of humans to learn variations in body shape [12, 2, 13], but are limited by lack of sufficient clothed human data and only capable of representing the unclothed human body.”
Review of statistical shape spaces for 3D data with comparative analysis for human faces (2012, background): “This avenue was explored by Hasler et al. [36] for the application of predicting 3D body shape and posture from an image.”
A data-driven approach for real-time full body pose reconstruction from a depth camera (2011, unknown): “As shown in the experiments (Sect.”
Sim2real transfer learning for 3D human pose estimation: motion to the rescue (2019, background): “Similar to our work, state-of-the-art approaches often rely on parametric body models to incorporate strong priors on 3D poses [5, 7, 8, 22, 24, 34, 40, 43, 52, 57, 74].”
Learning to Reconstruct People in Clothing From a Single RGB Camera (2019, methodology): “Some methods attempt to infer the shape parameters of a body model from a single image [41, 53, 10, 24, 8, 32, 86, 39, 55], but reconstructed detail is constrained to the model shape space, and thus does not capture personalized shape detail and clothing geometry.”
Video Based Reconstruction of 3D People Models (2018, methodology): “Some methods infer shape parameters of a parametric body model from a single image [7, 20, 5, 27, 83, 34], but the reconstruction is limited to the parametric space and can not capture personalized shape detail and clothing geometry.”