March 14, 2024, 4:46 a.m. | Matteo Taiana, Matteo Toso, Stuart James, Alessio Del Bue

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.08586v1 Announce Type: new
Abstract: Robustly estimating camera poses from a set of images is a fundamental task which remains challenging for differentiable methods, especially in the case of small and sparse camera pose graphs. To overcome this challenge, we propose Pose-refined Rotation Averaging Graph Optimization (PRAGO). From a set of objectness detections on unordered images, our method reconstructs the rotational pose, and in turn, the absolute pose, in a differentiable manner benefiting from the optimization of a sequence of …

abstract arxiv case challenge cs.cv differentiable graph graphs images optimization rotation set small type view

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