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» 2D and 3D Shape Based Segmentation Using Deformable Models
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ICCV
2007
IEEE
15 years 11 months ago
The Best of Both Worlds: Combining 3D Deformable Models with Active Shape Models
Reliable 3D tracking is still a difficult task. Most parametrized 3D deformable models rely on the accurate extraction of image features for updating their parameters, and are pro...
Christian Vogler, Zhiguo Li, Atul Kanaujia, Siome ...
MVA
1990
140views Computer Vision» more  MVA 1990»
14 years 10 months ago
Recognition of Human Motion Based on Interpretation of 2D Pattern Deformation
This paper presents an approach to recognize human motion from singleviewed image sequencein order to realize a new man-computerinterface.Thehuman body is assumed to be linked mod...
Keiko Shiraishi, Mutsuhiro Terauchi, Kenji Onaga
MICCAI
2010
Springer
14 years 8 months ago
Actin Filament Segmentation Using Spatiotemporal Active-Surface and Active-Contour Models
Abstract. We introduce a novel algorithm for actin filament segmentation in a 2D TIRFM image sequence. We treat the 2D time-lapse sequence as a 3D image volume and propose an over...
Hongsheng Li, Tian Shen, Dimitrios Vavylonis, Xiao...
ISBI
2007
IEEE
15 years 3 months ago
Locally Adaptive Autoregressive Active Models for Segmentation of 3d Anatomical Structures
Many techniques of knowledge-based segmentation consist of building statistical models that describe the deformations of the structure of interest, and then fit these models to t...
Charles Florin, Nikos Paragios, Gareth Funka-Lea, ...
MICCAI
2004
Springer
15 years 10 months ago
Vessel Segmentation Using a Shape Driven Flow
Abstract. We present a segmentation method for vessels using an implicit deformable model with a soft shape prior. Blood vessels are challenging structures to segment due to their ...
Delphine Nain, Anthony J. Yezzi, Greg Turk