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Human pose estimation is the task of estimating the 'pose' or configuration of a person's body parts e.g. labeling the position and orientation of the head, torso, arms and legs in an image. In this paper we propose an extension of the pictorial structure model (PSM) approach [2]. Our method incorporates richer models of appearance and prior over pose(More)
The task of 2-D articulated human pose estimation in natural images is extremely challenging due to the high level of variation in human appearance. These variations arise from different clothing, anatomy, imaging conditions and the large number of poses it is possible for a human body to take. Recent work has shown state-of-the-art results by partitioning(More)
In schizophrenia, genetic predisposition has been linked to chromosome 22q11 and myelin-specific genes are misexpressed in schizophrenia. Nogo-66 receptor 1 (NGR or RTN4R) has been considered to be a 22q11 candidate gene for schizophrenia susceptibility because it encodes an axonal protein that mediates myelin inhibition of axonal sprouting. Confirming(More)
We address the problem of articulated 2-D human pose estimation in unconstrained natural images. In previous work the Pictorial Structure Model approach has proven particularly successful, and is appealing because of its moderate computational cost. However, the accuracy of resulting pose estimates has been limited by the use of simple representations of(More)
  • R. Maria Saleth, Ariel Dinar, +32 authors Fulvia Toppin
  • 1999
ii ACKNOWLEDGEMENTS This study was supported by the budget allocation from the Rural Cluster within the Development Research Group, Visiting Research Fellows Program, and supplemental funds of the Rural Development Department, the World Bank. While the intellectual contributions of all the experts met in the sample countries are gratefully acknowledged,(More)
This paper proposes a method for estimating the 3D body shape of a person with robustness to clothing. We formulate the problem as optimization over the manifold of valid depth maps of body shapes learned from synthetic training data. The manifold itself is represented using a novel data structure, a Multi-Resolution Manifold Forest (MRMF), which contains(More)
Academic journals set a variety of policies that affect the supply of new manuscripts. We study the impact of page limit policies adopted by the American Economic Review (AER) in 2008 and the Journal of the European Economic Association (JEEA) in 2009 in response to a substantial increase in the length of articles in economics. We focus the analysis on the(More)
Haulage cost typically accounts for around 30% of the total cost of mass earthmoving projects. The temporary road network is a major factor influencing haulage cost and production efficiency. The simulation of earthmoving operations considering temporary road networks, not only facilitates the site formation design but also leads to realistic,(More)
We investigate the task of 2D articulated human pose estimation in unconstrained still images. This is extremely challenging because of variation in pose, anatomy, clothing, and imaging conditions. Current methods use simple models of body part appearance and plausible configurations due to limitations of available training data and constraints on(More)