AI RESEARCH
Benchmarking Efficient & Effective Camera Pose Estimation Strategies for Novel View Synthesis
arXiv CS.CV
•
ArXi:2603.20428v1 Announce Type: new Novel view synthesis (NVS) approaches such as NeRFs or 3DGS can produce photo-realistic 3D scene representation from a set of images with known extrinsic and intrinsic parameters. The necessary camera poses and calibrations are typically obtained from the images via Structure-from-Motion (SfM). Classical SfM approaches rely on local feature matches between the images to estimate both the poses and a sparse 3D model of the scene, using bundle adjustment to refine initial pose, intrinsics, and geometry estimates.