REGION-BASED DEPTH-PRESERVING STEREOSCOPIC IMAGE RETARGETING

The popularity of stereo images and various sizes of display screens pose the need of stereo image retargeting techniques which resize stereo image pairs to desired sizes. Many content-aware stereo image retargeting methods adapt the images through non-uniformly resizing regions. However, these methods often make the depth of retargeted version inconsistent with the original one, since they do not explicitly consider different effects of resizing distinct regions on the depths of 3D scenes. In this paper, we analyze the effects of region-wise resizing on the depths of 3D scenes. With such insights, we can properly edit or maintain the depth of a stereo image pair via region-wise resizing. In addition, by taking into account the effects on different regions, we propose a grid-based retargeting model for stereo images, which simultaneously preserve the depths of 3D scenes and the shapes of salient objects. Experimental results demonstrate the superior performance of our method.