Inicio  /  Applied Sciences  /  Vol: 9 Par: 14 (2019)  /  Artículo
ARTÍCULO
TITULO

Deep Homography Estimation and Its Application to Wall Maps of Wall-Climbing Robots

Qiang Zhou and Xin Li    

Resumen

This study focused on the homography estimation between the camera image and the wall map and presented a novel method (HomographyFpnNet). The high precision and low time consumption of this method will benefit many homography-related applications in robotics and computer vision, such as image stitching, simultaneous localization and mapping (SLAM), 3D reconstruction and optical flow.

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