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» Computation Error Tolerance in Motion Estimation Algorithms
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CVPR
2012
IEEE
11 years 10 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 ...
ACCV
2006
Springer
14 years 2 days ago
Motion Detection in Driving Environment Using U-V-Disparity
Abstract. Motion detection in driving environment, which aims to detect REAL moving objects from continuously changing background, is vital for Adaptive Cruise Control (ACC) applic...
Jia Wang, Zhencheng Hu, Hanqing Lu, Keiichi Uchimu...
ICPR
2008
IEEE
14 years 2 months ago
Resolution enhancement for binocular stereo
Traditional stereo algorithms estimate disparity at the same resolution as the observations. In this work we address the problem of estimating disparity and occlusion information ...
Arnav V. Bhavsar, A. N. Rajagopalan
DATE
2010
IEEE
154views Hardware» more  DATE 2010»
14 years 1 months ago
ERSA: Error Resilient System Architecture for probabilistic applications
There is a growing concern about the increasing vulnerability of future computing systems to errors in the underlying hardware. Traditional redundancy techniques are expensive for...
Larkhoon Leem, Hyungmin Cho, Jason Bau, Quinn A. J...
ICCV
2001
IEEE
14 years 10 months ago
Propagation of Innovative Information in Non-Linear Least-Squares Structure from Motion
We present a new technique that improves upon existing structure from motion (SFM) methods. We propose a SFM algorithm that is both recursive and optimal. Our method incorporates ...
Drew Steedly, Irfan A. Essa