ボタン角検出に基づくエレベータボタン画像の透視歪みの自律補正
Autonomous Removal of Perspective Distortion of Elevator Button Images based on Corner Detection
深層学習による画像分割とハフ変換でエレベータボタンの角を検出し、標準的な角座標を基準にカメラ運動を推定して透視歪みを高精度に補正する手法を提案した。
著者: Nachuan Ma, Jianbang Liu, Delong Zhu
分類: cs.CV, cs.RO
原文アブストラクト
Elevator button recognition is a critical function to realize the autonomous operation of elevators. However, challenging image conditions and various image distortions make it difficult to recognize buttons accurately. To fill this gap, we propose a novel deep learning-based approach, which aims to autonomously correct perspective distortions of elevator button images based on button corner detection results. First, we leverage a novel image segmentation model and the Hough Transform method to obtain button segmentation and button corner detection results. Then, pixel coordinates of standard button corners are used as reference features to estimate camera motions for correcting perspective distortions. Fifteen elevator button images are captured from different angles of view as the dataset. The experimental results demonstrate that our proposed approach is capable of estimating camera motions and removing perspective distortions of elevator button images with high accuracy.
