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20112018
most citedEstimating 3D Human Shapes from Measurements

57 citations · 195 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CV2018★ 24 cited

Abnormality Detection in Mammography using Deep Convolutional Neural Networks

Pengcheng Xi, Chang Shu, Rafik Goubran

Breast cancer is the most common cancer in women worldwide. The most common screening technology is mammography. To reduce the cost and workload of radiologists, we propose a compu…

cs.CV2013★ 54 cited

Estimation of Human Body Shape and Posture Under Clothing

Stefanie Wuhrer, Leonid Pishchulin, Alan Brunton +2

Estimating the body shape and posture of a dressed human subject in motion represented as a sequence of (possibly incomplete) 3D meshes is important for virtual change rooms and se…

cs.CV2013★ 8 cited

Finite Element Based Tracking of Deforming Surfaces

Stefanie Wuhrer, Jochen Lang, Motahareh Tekieh +1

We present an approach to robustly track the geometry of an object that deforms over time from a set of input point clouds captured from a single viewpoint. The deformations we con…

cs.CV2012★ 52 cited

Fully Automatic Expression-Invariant Face Correspondence

Augusto Salazar, Stefanie Wuhrer, Chang Shu +1

We consider the problem of computing accurate point-to-point correspondences among a set of human face scans with varying expressions. Our fully automatic approach does not require…

cs.CV2011★ 57 cited

Estimating 3D Human Shapes from Measurements

Stefanie Wuhrer, Chang Shu

The recent advances in 3-D imaging technologies give rise to databases of human shapes, from which statistical shape models can be built. These statistical models represent prior k…