Stereo matching algorithms are capable of generating depth maps from two images of the same scene taken simultaneously from two different viewpoints. Traditionally, a single cost function is used to calculate the disparity between corresponding pixels in the left and right images. In the present research, we have considered a combination of simple data costs. A new method to combine multiple data costs is presented and a fuzzy-based disparity selection method is proposed. Experiments with different combinations of parameters are conducted and compared through the Middlebury and Kitti Stereo Vision Benchmark.
|Number of pages||15|
|Journal||Turkish Journal of Electrical Engineering and Computer Sciences|
|Publication status||Published - 01-01-2019|
All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Electrical and Electronic Engineering