TY - JOUR
T1 - Fuzzy logic-based disparity selection using multiple data costs for stereo correspondence
AU - Shetty, Akhil Appu
AU - George, Vadakekara Itty
AU - Nayak, C. Gurudas
AU - Shetty, Raviraj
N1 - Publisher Copyright:
© TÜBİTAK.
PY - 2019/1/1
Y1 - 2019/1/1
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/85062996231
UR - https://www.scopus.com/inward/citedby.url?scp=85062996231&partnerID=8YFLogxK
U2 - 10.3906/elk-1807-180
DO - 10.3906/elk-1807-180
M3 - Article
AN - SCOPUS:85062996231
SN - 1300-0632
VL - 27
SP - 377
EP - 391
JO - Turkish Journal of Electrical Engineering and Computer Sciences
JF - Turkish Journal of Electrical Engineering and Computer Sciences
IS - 1
ER -