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Learning Image Matching by Simply Watching Video
This work presents an unsupervised learning based approach to the ubiquitous computer vision problem of image matching.
Simplified Mirror-Based Camera Pose Computation via Rotation Averaging
Our theoretical contribution extends the applicability of rotation averaging to a more general case, and enables mirror-based pose estimation in closed-form under the chordal L2-metric, or in an outlier-robust way by employing iterative L1-norm averaging.
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