Paper Info
Title
Epipolar-Based Stereo Tracking Without Explicit 3D Reconstruction
Abstract
We present a general framework for tracking image regions in two views simultaneously based on sum-of-squared differences (SSD) minimization. Our method allows for motion models up to affine transformations. Contrary to earlier approaches, we incorporate the well-known epipolar constraints directly into the SSD optimization process. Since the epipolar geometry can be computed from the image directly, no prior calibration is necessary. Our algorithm has been tested in different applications including camera localization, wide-baseline stereo, object tracking and medical imaging. We show experimental results on robustness and accuracy compared to the known ground truth given by a conventional tracking device.
Year
DOI
Venue
2010
10.1109/ICPR.2010.434
ICPR
Keywords
Field
DocType
object tracking,image region,different application,epipolar-based stereo tracking,earlier approach,epipolar geometry,ssd optimization process,camera localization,conventional tracking device,well-known epipolar constraint,tracking,stereo vision,affine transformation,robustness,geometry,medical imaging,argon,3d reconstruction,ground truth
Affine transformation,Computer vision,Object detection,Epipolar geometry,Computer science,Stereopsis,Robustness (computer science),Video tracking,Ground truth,Artificial intelligence,3D reconstruction
Conference
Citations 
PageRank 
References 
4
0.43
11
Authors
3
Name
Order
Citations
PageRank
Andre Gaschler11359.32
Darius Burschka21229121.32
Gregory D. Hager33871400.32