Object Extraction Using Cost Function with Intensity and Disparity in 3D Stereoscopic Images

Abstract

In this paper, we propose the method to extract objects with excessive disparities in 3D stereoscopic images using cost function considering the intensity and the depth information. The traditional region segmentation methods use only intensity in 2D images. The 3D stereoscopic images have the additional information that is disparity. In the proposed method, first, the excessive disparity candidate regions are decided using the adaptive threshold in the disparity-map. Next, the extracted excessive disparity candidate regions are labeled to object regions and the other regions are background. The object regions are set as ROI (region of interest). The proposed segmentation method is applied in the ROI of 3D stereoscopic left image. Finally, the excessive disparity object is extracted through eliminating small regions.