Human Geometry


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Unsupervised Geometry-Aware Representation for 3D Human Pose ...

Unsupervised Geometry-Aware Representation For 3D Human Pose ...

Unsupervised Geometry-Aware Representation for 3D Human Pose Estimation. Helge Rhodin[3−2692−0801], Mathieu Salzmann[2−8347−8637], and. [ReadMore..]

People Watching: Human Actions as a Cue for Single View Geometry

People Watching: Human Actions As A Cue For Single View Geometry

human actions and scene geometry. We investigate the use of human pose as a cue for single-view 3D scene understanding. Our method builds upon. [ReadMore..]

Comparison of animals used in disc research to human lumbar disc ...

Comparison Of Animals Used In Disc Research To Human Lumbar Disc ...

This paper provides a reference to compare disc geometries of experimental animal models to the human lumbar disc, to aid both in interpretation of and in planning for experimental disc research, and to provide normalized disc geometry parameters for computational models. Study design: Measurement and normalization of disc geometry parameters for several animal models used in disc research. Objectives: To compare normalized ... [ReadMore..]

The Geometry of Energy in the Human Body

The Geometry Of Energy In The Human Body

Sadhguru on the geometry of the human energy system and the journey from conclusions to confusion to consciousness. In the human energy system, there are two equilateral triangles – an upward-pointing one below, and a downward-pointing one above. Normally, these two triangles ... [ReadMore..]

latent geometry of the human protein interaction network ...

Latent Geometry Of The Human Protein Interaction Network ...

AbstractMotivation. A series of recently introduced algorithms and models advocates for the existence of a hyperbolic geometry underlying the network representa AbstractMotivation. A series of recently introduced algorithms and models advocates for the existence of a hyperbolic geometry underlying the network ... [ReadMore..]

An Obscure Field of Math Might Help Unlock Mysteries of Human ...

An Obscure Field Of Math Might Help Unlock Mysteries Of Human ...

How hyperbolic geometry, once considered mathematical heresy, could help us understand human perception. Jun 12, 2020 ... How hyperbolic geometry, once considered mathematical heresy, could help us understand human perception. [ReadMore..]

The geometry of domain-general performance monitoring in the ...

The Geometry Of Domain-general Performance Monitoring In The ...

Representations of evaluative signals in human frontal cortex are both abstract and task specific. May 6, 2022 ... We recorded single neurons in the human medial frontal cortex while subjects performed two tasks that involve three types of cognitive conflict. [ReadMore..]

Adversarial Geometry-Aware Human Motion Prediction

Adversarial Geometry-Aware Human Motion Prediction

Adversarial Geometry-Aware Human Motion Prediction. Liang-Yan Gui*, Yu-Xiong Wang*, Xiaodan Liang, and José M. F. Moura. Carnegie Mellon University. [ReadMore..]

Terahertz pulse imaging in reflection geometry of human skin cancer ...

Terahertz Pulse Imaging In Reflection Geometry Of Human Skin Cancer ...

Oct 17, 2002 ... Terahertz pulse imaging in reflection geometry of human skin cancer and skin tissue. Ruth M Woodward1,2, Bryan E Cole2, Vincent P Wallace2, ... [ReadMore..]

Self-Supervised Learning of 3D Human Pose using Multi-view ...

Self-Supervised Learning Of 3D Human Pose Using Multi-view ...

Training accurate 3D human pose estimators requires large amount of 3D ground-truth data which is costly to collect. Various weakly or self supervised pose estimation methods have been proposed due to lack of 3D data. Nevertheless, these methods, in addition to 2D ground-truth poses, require either additional supervision in various forms (e.g. unpaired 3D ground truth data, a small subset of labels) or the camera parameters in multiview settings. To address these problems, we present EpipolarPose, a self-supervised learning method for 3D human pose estimation, which does not need any 3D ground-truth data or camera extrinsics. During training, EpipolarPose estimates 2D poses from multi-view images, and then, utilizes epipolar geometry to obtain a 3D pose and camera geometry which are subsequently used to train a 3D pose estimator. We demonstrate the effectiveness of our approach on standard benchmark datasets i.e. Human3.6M and MPI-INF-3DHP where we set the new state-of-the-art among weakly/self-supervised met Mar 6, 2019 ... During training, EpipolarPose estimates 2D poses from multi-view images, and then, utilizes epipolar geometry to obtain a 3D pose and camera ... [ReadMore..]

Blocking and overshadowing in human geometry learning.

Blocking And Overshadowing In Human Geometry Learning.

In a two-dimensional computer-based search task, human participants were required to learn the location of a goal by using the geometric information available on the screen. When the goal location was defined by two shapes that differed in salience, the more salient shape overshadowed learning based on the less salient shape but not the other way round. Furthermore, when one shape was pretrained as a signal for the location of the goal, learning about the geometric cues of the other shape was blocked. These results suggest that spatial learning based on geometry is ruled by associative principles and support learning models that do not invoke a special status for geometric cues (e.g., Miller & Shettleworth, 2007). (PsycINFO Database Record (c) 2016 APA, all rights reserved) In a two-dimensional computer-based search task, human participants were required to learn the location of a goal by using the geometric information ... [ReadMore..]