360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume
Ning-Hsu Wang,Bolivar Solarte,Yi-Hsuan Tsai,Wei-Chen Chiu,Min Sun,Ning-Hsu Wang,Bolivar Solarte,Yi-Hsuan Tsai,Wei-Chen Chiu,Min Sun
Recently, end-to-end trainable deep neural networks have significantly improved stereo depth estimation for perspective images. However, 360° images captured under equirectangular projection cannot benefit from directly adopting existing methods due to distortion introduced (i.e., lines in 3D are not projected onto lines in 2D). To tackle this issue, we present a novel architecture specifically de...
