UC Irvine

Spatially Augmented Reality (SAR), also known as projection mapping, uses multiple projectors to illuminate surfaces of arbitrary shape and size and create seamless, large-scale displays. Traditional SAR assumes that the projection surface is static and rigid. This restriction was partially addressed by Dynamic-SAR, where the surface is rigid and of known shape but can be moved around. However, no prior work has addressed SAR using multiple projectors on deformable surfaces, where the shape is unknown and constantly changing. Thus, multi-projector SAR on deformable surfaces introduces several challenges, including projector-camera calibration on a deformable surface, real-time surface shape recovery and real-time multi-projector warping and blending. My thesis is the first attempt to develop a comprehensive framework for achieving seamless multi-projector displays on deformable surfaces. Furthermore, I will also be presenting its applications in the medical domain to enable remote surgical guidance by using SAR to illuminate surgical stencils on a physical surgical site precisely.