Eigen space approach for a pose detection with range images

An application of the pose detection using range images usually uses characteristic matching of the geometrical model but this method has two problems: selecting characteristics from range images is difficult; and it is difficult to make a geometrical model for a complicated shape. Previously a parametric eigen-space method was proposed for pose detection. This method makes object recognition and pose detection possible, but this parametric eigen-space method has a problem that intensity-images depend on a variety of light conditions therefore learning images must include variation of light conditions.