Combining Stereovision Matching Constraints for Solving the Correspondence Problem

Segmentation and Stereoscopic Correspondence in Images Obtained with Omnidirectional Projection for Forest Environments

“…This together with the qualitative improvement provided by this approach, as explained above, allows us to conclude that this is a suitable method for computing the disparity map in this kind of images. Other combined decision making approaches have been successfully used in previous works in the same forest environment, where the final decision about the correct match, among the candidates in the list, is made according to techniques used for combining classifiers conveniently adapted in our approach to be applied for the stereovision matching (Herrera et al, 2009a(Herrera et al, , 2009b(Herrera et al, , 2009c(Herrera et al, , 2011bHerrera, 2010;Pajares et al, 2011). In (Herrera et al, 2011a) the similarity and uniqueness constraints are mapped through a decision making strategy based on a weighted fuzzy similarity approach.…”