Automatic Scene Inference for 3D Object Compositing

作者：Karsch Kevin^*; Sunkavalli Kalyan; Hadap Sunil; Carr Nathan; Jin Hailin; Fonte Rafael; Sittig Michael; Forsyth David

来源：ACM Transactions on Graphics, 2014, 33(3): 32.

DOI：10.1145/2602146

• Algorithms
• Human Factors
• Illumination inference
• depth estimation
• scene reconstruction
• physically grounded
• image-based rendering
• image-based editing

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.

• 出版日期2014-5