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Elevator button recognition is a critical function to realize the autonomousoperation of elevators. However, challenging image conditions and various imagedistortions make it difficult to recognize buttons accurately. To fill thisgap, we propose a novel deep learning-based approach, which aims toautonomously correct perspective distortions of elevator button images based onbutton corner detection results. First, we leverage a novel image segmentationmodel and the Hough Transform method to obtain button segmentation and buttoncorner detection results. Then, pixel coordinates of standard button cornersare used as reference features to estimate camera motions for correctingperspective distortions. Fifteen elevator button images are captured fromdifferent angles of view as the dataset. The experimental results demonstratethat our proposed approach is capable of estimating camera motions and removingperspective distortions of elevator button images with high accuracy.

Autonomous Removal of Perspective Distortion of Elevator Button Images based on Corner Detection