Structure recovery by part assembly
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Lie bodies: a manifold representation of 3D human shape
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Performance capture of interacting characters with handheld kinects
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Image-based clothes animation for virtual fitting
SIGGRAPH Asia 2012 Technical Briefs
ACM Transactions on Graphics (TOG)
An adaptable system for RGB-D based human body detection and pose estimation
Journal of Visual Communication and Image Representation
Personalized animatable avatars from depth data
JVRC '13 Proceedings of the 5th Joint Virtual Reality Conference
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The 3D shape of the human body is useful for applications in fitness, games and apparel. Accurate body scanners, however, are expensive, limiting the availability of 3D body models. We present a method for human shape reconstruction from noisy monocular image and range data using a single inexpensive commodity sensor. The approach combines low-resolution image silhouettes with coarse range data to estimate a parametric model of the body. Accurate 3D shape estimates are obtained by combining multiple monocular views of a person moving in front of the sensor. To cope with varying body pose, we use a SCAPE body model which factors 3D body shape and pose variations. This enables the estimation of a single consistent shape while allowing pose to vary. Additionally, we describe a novel method to minimize the distance between the projected 3D body contour and the image silhouette that uses analytic derivatives of the objective function. We propose a simple method to estimate standard body measurements from the recovered SCAPE model and show that the accuracy of our method is competitive with commercial body scanning systems costing orders of magnitude more.