Sciweavers

DAGM
2005
Springer
13 years 11 months ago
Optic Flow Goes Stereo: A Variational Method for Estimating Discontinuity-Preserving Dense Disparity Maps
We present a novel variational method for estimating dense disparity maps from stereo images. It integrates the epipolar constraint into the currently most accurate optic flow met...
Natalia Slesareva, Andrés Bruhn, Joachim We...
DAGM
2009
Springer
14 years 18 days ago
Dense Stereo-Based ROI Generation for Pedestrian Detection
This paper investigates the benefit of dense stereo for the ROI generation stage of a pedestrian detection system. Dense disparity maps allow an accurate estimation of the camera ...
Christoph Gustav Keller, David Fernández Ll...
ICIAP
2009
ACM
14 years 24 days ago
Dense Two-Frame Stereo Correspondence by Self-organizing Neural Network
This work aims at defining an extension of a competitive method for matching correspondences in stereoscopic image analysis. The method we extended was proposed by Venkatesh, Y.V....
Marco Vanetti, Ignazio Gallo, Elisabetta Binaghi
ICPR
2002
IEEE
14 years 7 months ago
Scene Classification from Dense Disparity Maps in Indoor Environments
We present our approach for scene classification in dense disparity maps from a binocular stereo system. The classification result is used for tracking and navigation purposes. Th...
Darius Burschka, Gregory D. Hager
ICCV
1999
IEEE
14 years 8 months ago
Tracking Self-Occluding Articulated Objects in Dense Disparity Maps
Nebojsa Jojic, Matthew Turk, Thomas S. Huang