360° Depth Estimation from Multiple Fisheye Images with Origami Crown Representation of Icosahedron
Ren Komatsu,Hiromitsu Fujii,Yusuke Tamura,Atsushi Yamashita,Hajime Asama,Ren Komatsu,Hiromitsu Fujii,Yusuke Tamura,Atsushi Yamashita,Hajime Asama
In this study, we present a method for all-around depth estimation from multiple omnidirectional images for indoor environments. In particular, we focus on plane-sweeping stereo as the method for depth estimation from the images. We propose a new icosahedron-based representation and ConvNets for omnidirectional images, which we name "CrownConv" because the representation resembles a crown made of ...
