Retargeting 3D Objects and Scenes with a General Framework

Abstract

Figure 1: Given an input scene (left), the proposed method generates adaptive retargeting result (middle, right) which respect the original spatial arrangement by exploiting structural regularity. The color-coded parts are the detected regular patterns representing the semantic groupings of the objects in the scene. Our method can accomplish both object-and scene-level retargeting simultaneously and well preserve the underlying structures. The figures in this paper are best viewed in color/screen and significantly zoomed in. AbstractIn this paper, we introduce an interactive method suitable for retargeting both 3D objects and scenes. Initially, the input object or scene is decomposed into a collection of constituent components enclosed by corresponding control bounding volumes which capture the intra-structures of the object or semantic grouping of objects in the 3D scene. The overall retargeting is accomplished through a constrained optimization by manipulating the control bounding volumes. Without inferring the intricate dependencies between the components, we define a minimal set of constraints that maintain the spatial arrangement and connectivity between the components to regularize the valid retargeting results. The default retargeting behavior can then be easily altered by additional semantic constraints imposed by users. This strategy makes the proposed method highly flexible to process a wide variety of 3D objects and scenes under an unified framework. In addition, the proposed method achieved more general structure-preserving pattern synthesis in both object and scene levels. We demonstrate the effectiveness of our method by applying it to several complicated 3D objects and scenes.