A pre-processing data fusion scheme with applications to multi-camera pose estimation

Multi-camera systems usually offer higher accuracy and robustness to sensor faultiness; however the volume of the processed data in these systems makes them computationally expensive. Moreover, they often require major modifications in the processing units. This work proposes a general pre-processing fusion technique which reduces the computation cost, while enhancing the accuracy of the system. Simulation results confirm the effectiveness of the proposed method.