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cs.CV2025

Three-view Focal Length Recovery From Homographies

Yaqing Ding, Viktor Kocur, Zuzana Berger Haladová +4

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 de…

cs.CV2025

Are Minimal Radial Distortion Solvers Necessary for Relative Pose Estimation?

Charalambos Tzamos, Viktor Kocur, Yaqing Ding +2

Estimating the relative pose between two cameras is a fundamental step in many applications such as Structure-from-Motion. The common approach to relative pose estimation is to app…

cs.CV2025

Diff-Reg v2: Diffusion-Based Matching Matrix Estimation for Image Matching and 3D Registration

Qianliang Wu, Haobo Jiang, Yaqing Ding +5

Establishing reliable correspondences is crucial for all registration tasks, including 2D image registration, 3D point cloud registration, and 2D-3D image-to-point cloud registrati…

cs.CV2025

RePoseD: Efficient Relative Pose Estimation With Known Depth Information

Yaqing Ding, Viktor Kocur, Václav Vávra +4

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 d…

cs.CV2024

SGNet: Salient Geometric Network for Point Cloud Registration

Qianliang Wu, Yaqing Ding, Lei Luo +5

Point Cloud Registration (PCR) is a critical and challenging task in computer vision. One of the primary difficulties in PCR is identifying salient and meaningful points that exhib…

cs.CV2024

Diff-Reg v1: Diffusion Matching Model for Registration Problem

Qianliang Wu, Haobo Jiang, Lei Luo +4

Establishing reliable correspondences is essential for registration tasks such as 3D and 2D3D registration. Existing methods commonly leverage geometric or semantic point features…