AI RESEARCH
Detailed Geometry and Appearance from Opportunistic Motion
arXiv CS.CV
•
ArXi:2603.26665v1 Announce Type: new Reconstructing 3D geometry and appearance from a sparse set of fixed cameras is a foundational task with broad applications, yet it remains fundamentally constrained by the limited viewpoints. We show that this bound can be broken by exploiting opportunistic object motion: as a person manipulates an object~(e.g., moving a chair or lifting a mug), the static cameras effectively ``orbit'' the object in its local coordinate frame, providing additional virtual viewpoints.