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2005
IEEE

Gaussian Scale-Space Dense Disparity Estimation with Anisotropic Disparity-Field Diffusion

9 years 3 months ago
Gaussian Scale-Space Dense Disparity Estimation with Anisotropic Disparity-Field Diffusion
We present a new reliable dense disparity estimation algorithm which employs Gaussian scale-space with anisotropic disparity-field diffusion. This algorithm estimates edge-preserving dense disparity vectors using a diffusive method on iteratively Gaussianfiltered images with a scale, i.e. the Gaussian scalespace. While a Gaussian filter kernel generates a coarser resolution from stereo image pairs, only strong and meaningful boundaries are adaptively selected on the resolution of the filtered images. Then, coarse global disparity vectors are initialized using the boundary constraint. The per-pixel disparity vectors are iteratively obtained by the local adjustment of the global disparity vectors using an energy-minimization framework. The proposed algorithm preserves the boundaries while inner regions are smoothed using anisotropic disparity-field diffusion. In this work, the Gaussian scale-space efficiently avoids illegal matching on a large baseline by the restriction of the range. M...
Jangheon Kim, Thomas Sikora
Added 23 Jun 2010
Updated 23 Jun 2010
Type Conference
Year 2005
Where 3DIM
Authors Jangheon Kim, Thomas Sikora
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