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ECCV
2004
Springer
16 years 6 months ago
A Bayesian Framework for Multi-cue 3D Object Tracking
This paper presents a Bayesian framework for multi-cue 3D object tracking of deformable objects. The proposed spatio-temporal object representation involves a set of distinct linea...
Jan Giebel, Dariu Gavrila, Christoph Schnörr
ICIP
2002
IEEE
16 years 6 months ago
Fitting smooth surfaces to scattered 3D data using piecewise quadratic approximation
The approximation of surfaces to scattered data is an important problem encountered in a variety of scientific applications, such as reverse engineering, computer vision, computer...
Hélio Pedrini, Murilo Vicente Gonçal...
CVPR
2005
IEEE
16 years 6 months ago
Discriminative Learning of Markov Random Fields for Segmentation of 3D Scan Data
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
Dragomir Anguelov, Benjamin Taskar, Vassil Chatalb...
IJCV
2010
184views more  IJCV 2010»
15 years 2 months ago
A 3D Shape Retrieval Framework Supporting Multimodal Queries
This paper presents a unified framework for 3D shape retrieval. The method supports multimodal queries (2D images, sketches, 3D objects) by introducing a novel view-based approach...
Petros Daras, Apostolos Axenopoulos
TNN
2010
233views Management» more  TNN 2010»
14 years 11 months ago
A hierarchical RBF online learning algorithm for real-time 3-D scanner
In this paper, a novel real-time online network model is presented. It is derived from the hierarchical radial basis function (HRBF) model and it grows by automatically adding unit...
Stefano Ferrari, Francesco Bellocchio, Vincenzo Pi...