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» From Contours to 3D Object Detection and Pose Estimation
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ICRA
2003
IEEE
169views Robotics» more  ICRA 2003»
14 years 2 months ago
Robust model-based 3D object recognition by combining feature matching with tracking
− We propose a vision based 3D object recognition and tracking system, which provides high level scene descriptions such as object identification and 3D pose information. The sys...
Sungho Kim, In-So Kweon, Incheol Kim
CVPR
2010
IEEE
14 years 4 months ago
Estimating Camera Pose from a Single Urban Ground-View Omnidirectional Image and a 2D Building Outline Map
A framework is presented for estimating the pose of a camera based on images extracted from a single omnidirectional image of an urban scene, given a 2D map with building outlines...
Tat-Jen Cham, Ciptadi Arridhana, Wei-Chian Tan, Mi...
ICIP
2005
IEEE
14 years 10 months ago
Fusion of multiple viewpoint information towards 3D face robust orientation detection
This paper presents a novel approach to the problem of determining head pose estimation and face 3D orientation of several people in low resolution sequences from multiple calibra...
Cristian Canton-Ferrer, Josep R. Casas, Montse Par...
ICASSP
2009
IEEE
14 years 3 months ago
Reconstruction of isometrically deformable flat surfaces in 3D from multiple camera images
This paper deals with the reconstruction of smooth, flexible, isometrically embedded flat surfaces in 3D, such as a sheet of paper or a flag waving in the wind, from a set of 2...
Ricardo Ferreira, João Xavier, João ...
CVPR
2011
IEEE
13 years 15 days ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff