Deep Depth Fusion for Black, Transparent, Reflective and Texture-Less Objects
Chun-Yu Chai,Yu-Po Wu,Shiao-Li Tsao,Chun-Yu Chai,Yu-Po Wu,Shiao-Li Tsao
Structured-light and stereo cameras, which are widely used to construct point clouds for robotic applications, have different limitations on estimating depth values. Structured-light cameras fail in black, transparent, and reflective objects, which influence the light path; stereo cameras fail in texture-less objects. In this work, we propose a depth fusion model that complements these two types o...