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» A novel method for alignment of 3D models
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MMM
2007
Springer
198views Multimedia» more  MMM 2007»
14 years 3 months ago
A Shape Distribution for Comparing 3D Models
This study developed a new shape-based 3D model descriptor based on the D2 shape descriptor developed by Osada, et al of Princeton University. Shape descriptors can be used to meas...
Levi C. Monteverde, Conrado R. Ruiz Jr., Zhiyong H...
ISBI
2007
IEEE
14 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, ...
ICCV
2009
IEEE
15 years 1 months ago
Modeling Deformable Objects from a Single Depth Camera
We propose a novel approach to reconstruct complete 3D deformable models over time by a single depth camera, provided that most parts of the models are observed by the camera at...
Miao Liao, Qing Zhang, Huamin Wang, Ruigang Yang, ...
CGI
2000
IEEE
14 years 1 months ago
Head Detection and Tracking by 2-D and 3-D Ellipsoid Fitting
A novel procedure for segmenting a set of scattered 3D data obtained from a head and shoulders multiview sequence is presented. The procedure consists of two steps. In the first ...
Nikos Grammalidis, Michael G. Strintzis
IJCV
2000
164views more  IJCV 2000»
13 years 8 months ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann