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This study presents a novel calibration-free system for spatial augmented reality that overlays images from a projector onto dynamic textured planar surfaces. Utilizing an Inverse Lucas-Kanade approach, our method allows for independent motion of the projector and camera without requiring prior calibration between them. Key contributions include real-time tracking of target surfaces, effective image projection with corrections for rotation, translation, and perspective distortions. The results demonstrate significant advancements in seamless augmented reality experiences on various surfaces.
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Calibration-free Projector-Camera System for Spatial Augmented Reality on planar surfacesTakayuki Nakamura, Francois de Sorbier, Sandy EggiMartedi, Hideo Saito Goal Overlay an image from a projector onto a textured and moving planar surface Tracking of the target surface and the projected image based on an Inverse Lucas-Kanadeapproach Method • No calibration of the projector/camera pair • Camera and projector can be moved independently Contributions Camera Target surface Projector Projected texture
Results with rotation, translation & perspective corrections Camera image (input image)