Online Robust Image Alignment via Subspace Learning From Gradient Orientations

Robust and efficient image alignment remains a challenging task, due to the massiveness of images, great illumination variations between images, partial occlusion and corruption. To address these challenges, we propose an online image alignment method via subspace learning from image gradient orientations (IGO)... (read more)

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