PT Unknown
AU Patricia Marquez
   Debora Gil
   Aura Hernandez-Sabate
TI A Complete Confidence Framework for Optical Flow
BT 12th European Conference on Computer Vision – Workshops and Demonstrations
PY 2012
BP 124
EP 133
VL 7584
IS 2
DI 10.1007/978-3-642-33868-7_13
DE Optical flow; confidence measures; sparsification plots; error prediction plots
AB Medial representations are powerful tools for describing and parameterizing the volumetric shape of anatomical structures. Existing methods show excellent results when applied to 2D objects, but their quality drops across dimensions. This paper contributes to the computation of medial manifolds in two aspects. First, we provide a standard scheme for the computation of medial manifolds that avoid degenerated medial axis segments; second, we introduce an energy based method which performs independently of the dimension. We evaluate quantitatively the performance of our method with respect to existing approaches, by applying them to synthetic shapes of known medial geometry. Finally, we show results on shape representation of multiple abdominal organs, exploring the use of medial manifolds for the representation of multi-organ relations.
PI Florence, Italy, October 7-13, 2012
ER