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ICCV
2001
IEEE
16 years 2 months ago
Concentric Mosaic(s)Planar Motion and 1D Cameras
General SFM methods give poor results for images captured by constrained motions such as planar motion of concentric mosaics (CM). In this paper, we propose new SFM algorithms for...
Long Quan, Le Lu, Heung-Yeung Shum, Maxime Lhuilli...
ICIP
2005
IEEE
15 years 6 months ago
Towards arbitrary camera movements for image cube trajectory analysis
Image Cube Trajectory (ICT) Analysis is a new and robust method to estimate the 3D structure of a scene from a set of 2D images. For a moving camera each 3D point is represented b...
Ingo Feldmann, Peter Eisert, Peter Kauff
ISMAR
2002
IEEE
15 years 5 months ago
Accurate Camera Calibration for Off-line, Video-Based Augmented Reality
Camera tracking is a fundamental requirement for videobased Augmented Reality applications. The ability to accurately calculate the intrinsic and extrinsic camera parameters for e...
Simon Gibson, Jonathan Cook, Toby Howard, Roger J....
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ACCV
2007
Springer
15 years 4 months ago
Feature Management for Efficient Camera Tracking
In dynamic scenes with occluding objects many features need to be tracked for a robust real-time camera pose estimation. An open problem is that tracking too many features has a ne...
Harald Wuest, Alain Pagani, Didier Stricker
ICCV
2009
IEEE
2061views Computer Vision» more  ICCV 2009»
16 years 5 months ago
Background Subtraction for Freely Moving Cameras
Background subtraction algorithms define the background as parts of a scene that are at rest. Traditionally, these algorithms assume a stationary camera, and identify moving obj...
Yaser Sheikh, Omar Javed, Takeo Kanade