Keita Iseki

Estimation of object class and orientation from multiple viewpoints and relative camera orientation constraints

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 orie…