Automatic Registration and Calibration for Efficient Surface Light Field Acquisition

Abstract

This paper presents a novel protocol for the acquisition of surface light fields which is designed to deal with delicate objects that might not be touched or moved. This constraint is particularly important when art pieces are involved. Our protocol enables the automatic reconstruction of a model from many range images and the automatic registration of many pictures with the acquired geometry. A structured light pattern is first used to project a parameterization over the analyzed surface. Each surface point hit by this parameterization is uniquely identified, independently of the chosen viewpoint, and the problem of finding point-point and point-pixel correspondences is then immediately solved. These correspondences are finally used to perform the registrations and camera calibrations that provide the data to be used by a surface light field renderer.