Thus, U O (x, y, d) represents the complex amplitude with the object information, while U R (x, y, d) means the complex amplitude without the object information.
Taking these two concepts, we use foreground detection and superpixel algorithms to extract the object information.
In [2], the authors proposed a dynamic cluster structure to efficiently collect the object information.
Thus, to solve this problem, an obvious reference beam without object information is needed.
However, the distribution of object information across visual areas was strikingly different during imagery and perception.
Executing complex robotic tasks including dexterous grasping and manipulation requires a combination of dexterous robots, intelligent sensors and adequate object information processing.
Note that we do not have to know the object information such as its dimension and shape because our method is view-based.
When the robot moves forward, front flippers keep a suitable angle with ground to obtain the object information in the front of the robot.
This architecture of auditory functioning would thus pose a constraint on when and in which brain regions specific spatial and object information are available for multisensory interactions.
Here, ϕ O (x, y, d) and ϕ R (x, y, d) represent the phases with and without the object information on the image plane, respectively.
After the resolution improvement process of the original hologram, the object information can then be fully reconstructed, which is very clear in the paper.
