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» Pose Estimation using 3D View-Based Eigenspaces
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IROS
2008
IEEE
187views Robotics» more  IROS 2008»
14 years 2 months ago
Monocular visual odometry in urban environments using an omnidirectional camera
— We present a system for Monocular Simultaneous Localization and Mapping (Mono-SLAM) relying solely on video input. Our algorithm makes it possible to precisely estimate the cam...
Jean-Philippe Tardif, Yanis Pavlidis, Kostas Danii...
ISMAR
2002
IEEE
14 years 18 days ago
Tracking with Omni-Directional Vision for Outdoor AR Systems
Most pose (3D position and 3D orientation) tracking methods using vision require a priori knowledge about the environment and correspondences between 3D environment features and 2...
Jong Weon Lee, Suya You, Ulrich Neumann
ICCV
2005
IEEE
14 years 9 months ago
Beyond Trees: Common-Factor Models for 2D Human Pose Recovery
Tree structured models have been widely used for determining the pose of a human body, from either 2D or 3D data. While such models can effectively represent the kinematic constra...
Xiangyang Lan, Daniel P. Huttenlocher
ECCV
2010
Springer
13 years 10 months ago
Depth-Encoded Hough Voting for joint object detection and shape recovery
Detecting objects, estimating their pose and recovering 3D shape information is a critical problem in many vision and robotics applications. This paper addresses the above needs by...
ISMAR
2007
IEEE
14 years 2 months ago
Semi-automatic Annotations in Unknown Environments
Unknown environments pose a particular challenge for augmented reality applications because the 3D models required for tracking, rendering and interaction are not available ahead ...
Gerhard Reitmayr, Ethan Eade, Tom Drummond