segmentation Depth layering Object completion Depth placement Stereo Input

image Figure 1: Given a segmented image as input we produce a stereo pair (or a motion parallax animation) by hallucinating plausible 3D geometry for the scene. First, segments are depth-sorted using simple depth and occlusion cues. Next, the geometry and texture of each object is completed using symmetry and convexity priors. Finally, we infer a depth placement for each object. We urge the reader to view the companion video before reading the paper, and to examine our anaglyphs in full size using red/cyan glasses. All of the results in this paper are available in the supplementary material. We introduce a novel method for enabling stereoscopic viewing of a scene from a single pre-segmented image. Rather than attempting full 3D reconstruction or accurate depth map recovery, we hallucinate a rough approxi-mation of the scene’s 3D model using a number of simple depth and occlusion cues and shape priors. We begin by depth-sorting the segments, each of which is assumed to represent a separate object in the scene, resulting in a collection of depth layers. The shapes and textures of the partially occluded segments are then completed using symmetry and convexity priors. Next, each completed segment is converted to a union of generalized cylinders yielding a rough 3D model for each object. Finally, the object depths are refined using an iterative ground fitting process. The hallucinated 3D model of the scene may then be used to generate a stereoscopic image pair, or t