AI RESEARCH
Image Rotation Angle Estimation: Comparing Circular-Aware Methods
arXiv CS.AI
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ArXi:2603.25351v1 Announce Type: cross Automatic image rotation estimation is a key preprocessing step in many vision pipelines. This task is challenging because angles have circular topology, creating boundary discontinuities that hinder standard regression methods. We present a comprehensive study of five circular-aware methods for global orientation estimation: direct angle regression with circular loss, classification via angular binning, unit-vector regression, phase-shifting coder, and circular Gaussian distribution.