Disparity refinement through grouping areas and support weighted windows

Abstract

In this work, we propose a simple but an effective technique to adjust a disparity map in a more appropriate configuration. This proposal consists of three main steps: segmentation process, statistical analysis and by using adaptive weighted windows. Furthermore, we investigate if a disparity map, yielded by a robust stereo method, can be improved by the proposed methodology. Thus, we implement some stereo vision methods to compare. The experimental results show that the proposed method is efficient and it can make some enhancements in disparity maps, as reducing the disparity error measure.

Publication
In Proceedings of 31st Canadian Conference on Electrical and Computer Engineering (CCECE 2018)
Gabriel Vieira
Gabriel Vieira
PhD Student
and former Master’s Student

Fabrizzio Soares is bla bla bla.

Fabrizzio Soares
Fabrizzio Soares
Associate Professor and CS Chair

Fabrizzio Soares is a professor of Computer Science, Information Systems and Software Engineering at INF/UFG. His research interests include Computer Vision, Human Computer Interaction, Machine Learning and Programming topics. He is the leader of the Pixellab group, which develops solutions for accesibilty, Precision Agriculture, and Interactive Systems.

Rafael Parreira
Rafael Parreira
Master’s Student

Fabrizzio Soares is bla bla bla.

Cristiane Ferreira
Cristiane Ferreira
PhD Student

Fabrizzio Soares is bla bla bla.

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