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ACCV
2006
Springer
14 years 1 months ago
Probabilistic Modeling for Structural Change Inference
We view the task of change detection as a problem of object recognition from learning. The object is defined in a 3D space where the time is the 3rd dimension. We propose two com...
Wei Liu, Véronique Prinet
ICCV
2007
IEEE
14 years 9 months ago
3D generic object categorization, localization and pose estimation
We propose a novel and robust model to represent and learn generic 3D object categories. We aim to solve the problem of true 3D object categorization for handling arbitrary rotati...
Silvio Savarese, Fei-Fei Li 0002
ICPR
2002
IEEE
14 years 13 days ago
Recognition of Lung Nodules from X-ray CT Images Using 3D Markov Random Field Models
In this paper, we propose a new recognition method of lung nodules from X-ray CT images using 3D Markov random field(MRF) models. Pathological shadow candidates are detected by a...
Hotaka Takizawa, Shinji Yamamoto, Tohru Matsumoto,...
ICRA
2009
IEEE
145views Robotics» more  ICRA 2009»
14 years 2 months ago
A two-steps next-best-view algorithm for autonomous 3D object modeling by a humanoid robot
— A novel approach is presented which aims at building autonomously visual models of unknown objects, using a humanoid robot. Although good methods have been proposed for the spe...
Torea Foissotte, Olivier Stasse, Adrien Escande, P...
ICPR
2004
IEEE
14 years 8 months ago
Model Based Object Recognition by Robust Information Fusion
Given a set of 3D model features and their 2D image, model based object recognition determines the correspondences between those features and hence computes the pose of the object...
Haifeng Chen, Ilan Shimshoni, Peter Meer