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Viktor Kocur

4 accepted papers

2025

Practical Solutions to the Relative Pose of Three Calibrated Cameras

CVPR 2025poster

We study the challenging problem of estimating the relative pose of three calibrated cameras from four point correspondences. We propose novel efficient solutions to this problem that are based on the simple idea of using four correspondences to estimate an approximate geometry of the first two view…

2025

RePoseD: Efficient Relative Pose Estimation With Known Depth Information

ICCV 2025poster

Recent advances in monocular depth estimation methods (MDE) and their improved accuracy open new possibilities for their applications. In this paper, we investigate how monocular depth estimates can be used for relative pose estimation. In particular, we are interested in answering the question whet…

2025

Three-view Focal Length Recovery From Homographies

CVPR 2025poster

In this paper, we propose a novel approach for recovering focal lengths from three-view homographies. By examining the consistency of normal vectors between two homographies, we derive new explicit constraints between the focal lengths and homographies using an elimination technique. We demonstrate…

2024

Robust Self-calibration of Focal Lengths from the Fundamental Matrix

CVPR 2024poster

The problem of self-calibration of two cameras from a given fundamental matrix is one of the basic problems in geometric computer vision. Under the assumption of known principal points and square pixels the Bougnoux formula offers a means to compute the two unknown focal lengths. However in many pra…