Abstract
The paper presents a geometric error correction method for convergent multi-view images, reducing the vertical parallax and non-uniform horizontal disparities over the set of input camera views. The global optimization method using inter-camera geometric relations on an arc is described. Camera orientations and optical centers are adjusted towards a uniform, circular distribution closest to the actual camera setup. Experimental validation shows up to 20% improvements over state-of-the-art w.r.t. reducing geometric errors and reaching better scalability/robustness to large rotation angles between adjacent camera views. The corrected images can be readily used for visualization on autostereoscopic 3D displays, and/or for further processing in an advanced 3D-TV imaging pipeline.
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