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ICIP
2010
IEEE
14 years 7 months ago
3D augmented Markov random field for object recognition
In this paper, we propose to use 3D information to augment the Markov random field (MRF) model for object recognition. Conventional MRF for image-based object recognition usually ...
Wei Yu, Ahmed Bilal Ashraf, Yao-Jen Chang, Congcon...
ISBI
2007
IEEE
15 years 4 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, ...
ICPR
2004
IEEE
15 years 11 months ago
Fusion of Vision, 3D Gyro and GPS for Camera Dynamic Registration
This paper presents a novel framework of hybrid camera pose tracking system for outdoor navigation system. Traditional vision based or inertial sensor based solutions are mostly d...
Francisco Lamosa, Hanqing Lu, Keiichi Uchimura, Zh...
ICPR
2002
IEEE
15 years 11 months ago
A Bayesian Approach to Video Object Segmentation via Merging 3D Watershed Volumes
In this paper, we propose a Bayesian approach to video object segmentation. Our method consists of two stages. In the first stage, we partition the video data into a set of 3D wate...
Yi-Ping Hung, Yu-Pao Tsai, Chih-Chuan Lai
ICRA
2009
IEEE
137views Robotics» more  ICRA 2009»
15 years 4 months ago
Unsupervised learning of 3D object models from partial views
— We present an algorithm for learning 3D object models from partial object observations. The input to our algorithm is a sequence of 3D laser range scans. Models learned from th...
Michael Ruhnke, Bastian Steder, Giorgio Grisetti, ...