Learning Shape-based Representation for Visual Localization in Extremely Changing Conditions
Hae-Gon Jeon,Sunghoon Im,Jean Oh,Martial Hebert,Hae-Gon Jeon,Sunghoon Im,Jean Oh,Martial Hebert
Visual localization is an important task for applications such as navigation and augmented reality, but is a challenging problem when there are changes in scene appearances through day, seasons, or environments. In this paper, we present a convolutional neural network (CNN)-based approach for visual localization across normal to drastic appearance variations such as pre- and post-disaster cases. O...
