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» Robust 3D pose estimation from multiple video cameras
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CVPR
2001
IEEE
16 years 1 months ago
A Spherical Eye from Multiple Cameras (Makes Better Models of the World)
This paper describes an imagingsystem that has been designed specifically for the purpose of recovering egomotion and structure from video. The system consists of six cameras in a...
Patrick Baker, Cornelia Fermüller, Yiannis Al...
IJCV
2007
178views more  IJCV 2007»
14 years 11 months ago
Three-Dimensional Shape Knowledge for Joint Image Segmentation and Pose Tracking
In this article we present the integration of 3-D shape knowledge into a variational model for level set based image segmentation and contour based 3-D pose tracking. Given the sur...
Bodo Rosenhahn, Thomas Brox, Joachim Weickert
ECCV
2010
Springer
14 years 12 months ago
Multiple Target Tracking in World Coordinate with Single, Minimally Calibrated Camera
Tracking multiple objects is important in many application domains. We propose a novel algorithm for multi-object tracking that is capable of working under very challenging conditi...
Wongun Choi, Silvio Savarese
CVPR
2011
IEEE
14 years 8 months ago
Semantic structure from motion
Conventional rigid structure from motion (SFM) addresses the problem of recovering the camera parameters (motion) and the 3D locations (structure) of scene points, given observed ...
Sid Ying-Ze Bao, Silvio Savarese
CVPR
2012
IEEE
13 years 2 months ago
Semantic structure from motion with points, regions, and objects
Structure from motion (SFM) aims at jointly recovering the structure of a scene as a collection of 3D points and estimating the camera poses from a number of input images. In this...
Sid Ying-Ze Bao, Mohit Bagra, Yu-Wei Chao, Silvio ...