Blending Images for Texturing 3D Models

This paper describes a novel system for building seamless texture maps for a surface of arbitrary topology from real images of the object taken with a standard digital camera and uncontrolled lighting. In our application we wish to take a sparse set of real images of a 3D object, and apply the images to an approximate surface model of the object to generate a high quality textured model. In practice the measured colour and intensity for a surface element observed in different photographic images will not agree. This is due to the interaction between real world lighting effects (such as highlights and specularities) and variations in the camera gain settings as well as registration and surface modelling errors. We describe a new automatic approach that extends a classical 2D image blending technique to a 3D surface, which produces high quality photo-realistic results at a low computational cost.

• Type: Conference
• Year: 2002
• Where: BMVC
• Authors: Adam Baumberg
• Keywords: Approximate Surface Model, BMVC 2002, Computer Vision, Real Images, Surface Modelling Errors