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» Shape Modeling Using Automatic Landmarking
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CVPR
2007
IEEE
14 years 9 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
ICPR
2006
IEEE
14 years 8 months ago
A Ground Truth Correspondence Measure for Benchmarking
Automatic localisation of correspondences for the construction of Statistical Shape Models from examples has been the focus of intense research during the last decade. Several alg...
Anders Ericsson, Johan Karlsson
ISBI
2011
IEEE
12 years 11 months ago
Automatic pancreas segmentation in contrast enhanced CT data using learned spatial anatomy and texture descriptors
Pancreas segmentation in 3-D computed tomography (CT) data is of high clinical relevance, but extremely difficult since the pancreas is often not visibly distinguishable from the...
Marius Erdt, Matthias Kirschner, Klaus Drechsler, ...
ICCV
2001
IEEE
14 years 9 months ago
A Novel Modeling Algorithm for Shape Recovery of Unknown Topology
This paper presents a novel modeling algorithm that is capable of simultaneously recovering correct shape geometry as well as its unknown topology from arbitrarily complicated dat...
Ye Duan, Hong Qin
PAMI
2008
189views more  PAMI 2008»
13 years 7 months ago
A Marked Point Process of Rectangles and Segments for Automatic Analysis of Digital Elevation Models
This work presents a framework for automatic feature extraction from images using stochastic geometry. Features in images are modeled as realizations of a spatial point process of ...
Mathias Ortner, Xavier Descombes, Josiane Zerubia