Automatic Scene Inference for 3D Object Compositing

作者：Kevin Karsch, Kalyan Sunkavalli, Sunil Hadap, N. Carr, Hailin Jin, Rafael Fonte, Michael Sittig, D. Forsyth · 发表于：ACM Transactions on Graphics · 年份：2014 · DOI：10.1145/2602146 · 被引用次数：205 · 研究领域：Computer Science、Engineering

We present a user-friendly image editing system that supports a drag-and-drop object insertion (where the user merely drags objects into the image, and the system automatically places them in 3D and relights them appropriately), postprocess illumination editing, and depth-of-field manipulation. Underlying our system is a fully automatic technique for recovering a comprehensive 3D scene model (geometry, illumination, diffuse albedo, and camera parameters) from a single, low dynamic range photograph. This is made possible by two novel contributions: an illumination inference algorithm that recovers a full lighting model of the scene (including light sources that are not directly visible in the photograph), and a depth estimation algorithm that combines data-driven depth transfer with geometric reasoning about the scene layout. A user study shows that our system produces perceptually convincing results, and achieves the same level of realism as techniques that require significant user interaction.