Estimation of object class and orientation from multiple viewpoints and relative camera orientation constraints
Koichi Ogawara,Keita Iseki,Koichi Ogawara,Keita Iseki
In this research, we propose a method of estimating object class and orientation given multiple input images assuming the relative camera orientations are known. Input images are transformed to descriptors on 2-D manifolds defined for each class of object through a CNN, and the object class and orientation that minimize the distance between input descriptors and the descriptors associated with the...
