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cs.CV2024
Deep Loss Convexification for Learning Iterative Models
Ziming Zhang, Yuping Shao, Yiqing Zhang +3
Iterative methods such as iterative closest point (ICP) for point cloud registration often suffer from bad local optimality (e.g. saddle points), due to the nature of nonconvex opt…
cs.CV2023★ 1 cited
PRISE: Demystifying Deep Lucas-Kanade with Strongly Star-Convex Constraints for Multimodel Image Alignment
Yiqing Zhang, Xinming Huang, Ziming Zhang
The Lucas-Kanade (LK) method is a classic iterative homography estimation algorithm for image alignment, but often suffers from poor local optimality especially when image pairs ha…