Plane identification and segmentation from uncalibrated stereo based on evolutionary approach

Planes are widely used in various vision tasks due to their abundance especially in man-made environments. Assuming an uncalibrated stereo image acquisition system, we propose a new plane identification and segmentation algorithm using an evolutionary approach. The proposed algorithm enables faster and more robust estimation of the plane since it progressively searches the best solution in a guided direction. Experimental results show that the proposed algorithm has higher performance than the existing method.