[CVPR 2023] DKM: Dense Kernelized Feature Matching for Geometry Estimation
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Updated
May 3, 2024 - Python
[CVPR 2023] DKM: Dense Kernelized Feature Matching for Geometry Estimation
[CVPR 2023] Two-view Geometry Scoring Without Correspondences
[ECCV 2024] SRPose: Two-view Relative Pose Estimation with Sparse Keypoints
With Stereo Vision, 3D reconstruction based on two methods. First, correlation based algorithm which extracts disparity map then estimate depth value. The other is Feature-based algorithm which extracts features with SIFT, then use triangulation to get depth value.
Solutions of the Fundamental 3D Computer Vision (CE-344) course
Comparative Analysis of Two-View and Three-View Pose Estimation Algorithms for Image-Based 3D Reconstruction: Fundamental Matrix vs Trifocal Tensor
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