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BMCBI
2004
208views more  BMCBI 2004»
13 years 9 months ago
Using 3D Hidden Markov Models that explicitly represent spatial coordinates to model and compare protein structures
Background: Hidden Markov Models (HMMs) have proven very useful in computational biology for such applications as sequence pattern matching, gene-finding, and structure prediction...
Vadim Alexandrov, Mark Gerstein
VMV
2001
248views Visualization» more  VMV 2001»
13 years 10 months ago
Using an Extended Hough Transform Combined with a Kalman Filter to Segment Tubular Structures in 3D Medical Images
We present a new approach for the coarse segmentation of tubular structures in 3D image data. Our algorithm, which requires only few initial values and minimal user interaction, c...
Thorsten Behrens, Karl Rohr, H. Siegfried Stiehl
CA
2002
IEEE
14 years 2 months ago
Employing Approximate 3D Models to Enrich Traditional Computer Assisted Animation
Although computer assistance for traditional animation is gaining a lot of attention during recent years, it still has to cope with many limitations. Part of the current research ...
Fabian Di Fiore, Frank Van Reeth
CHI
2004
ACM
14 years 9 months ago
Combining 2D and 3D views for orientation and relative position tasks
We compare 2D/3D combination displays to displays with 2D and 3D views alone. Combination displays we consider are: orientation icon (i.e., side-by-side), in-place methods (e.g., ...
Melanie Tory, Torsten Möller, M. Stella Atkin...
3DOR
2010
13 years 4 months ago
SHREC'10 Track: Non-rigid 3D Shape Retrieval
Non-rigid shape matching is one of the most challenging fields in content-based 3D object retrieval. The aim of the SHREC 2010 - Shape Retrieval Contest of Non-rigid 3D Models is ...
Zhouhui Lian, Afzal Godil, Thomas Fabry, Takahiko ...