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Following the success of deep convolutional networks, state-of-the-art methods for 3d human pose estimation have focused on deep end-to-end systems that predict 3d joint locations given raw image pixels. ' BioHuman framework aims for intuitive yet accurate 3D manikin generation from a minimal set of parameters. All BioHuman models are based on statistical analyses of high-resolution laser scans and anthropometric measurement data of men, women, and children with a wide range of age, stature, and body weight.' Intuitive 3D Body Shape Modeling. 3D Human Body; Complete Anatomy. Anatomy by Region. Anatomy by Structure. Anatomy by System. Anatomy Video Lectures.

Abstract: Following the success of deep convolutional networks, state-of-the-artmethods for 3d human pose estimation have focused on deep end-to-end systemsthat predict 3d joint locations given raw image pixels. Despite their excellentperformance, it is often not easy to understand whether their remaining errorstems from a limited 2d pose (visual) understanding, or from a failure to map2d poses into 3-dimensional positions. With the goal of understanding thesesources of error, we set out to build a system that given 2d joint locationspredicts 3d positions. Much to our surprise, we have found that, with currenttechnology, 'lifting' ground truth 2d joint locations to 3d space is a taskthat can be solved with a remarkably low error rate: a relatively simple deepfeed-forward network outperforms the best reported result by about 30% onHuman3.6M, the largest publicly available 3d pose estimation benchmark.Furthermore, training our system on the output of an off-the-shelfstate-of-the-art 2d detector (ie, using images as input) yields state of theart results -- this includes an array of systems that have been trainedend-to-end specifically for this task. Our results indicate that a largeportion of the error of modern deep 3d pose estimation systems stems from theirvisual analysis, and suggests directions to further advance the state of theart in 3d human pose estimation.

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3d Drawing Model Human

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