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Current single-view mesh reconstruction methods falter under robot camera rotations, leading to critical errors in spatial reasoning.
Manifold optimization provides a surprisingly effective and geometrically consistent approach to fitting an unknown number of hyperplanes, outperforming traditional methods.
