Howtosignalprocessing
- What are the method for estimation of optical flow?
- What are the possible applications of optical flow?
- What is optical flow and why does it matter in deep learning?
- What is an optical flow sensor?
What are the method for estimation of optical flow?
Optical Flow Methods
The calculus of variations is then used to find the minimum of this integral in terms of the unknown functions vx(x, y, t) and vy(x, y, t) for each fixed frame t. The resulting equations are then approximated using first-order approximations for the various derivatives involved.
What are the possible applications of optical flow?
Optical flow was used by robotics researchers in many areas such as: object detection and tracking, image dominant plane extraction, movement detection, robot navigation and visual odometry. Optical flow information has been recognized as being useful for controlling micro air vehicles.
What is optical flow and why does it matter in deep learning?
Optical flow is a vector field between two images, showing how the pixels of an object in the first image can be moved to form the same object in the second image . It is a kind of correspondence learning, because if the corresponding pixels of an object are known, the optical flow field can be calculated.
What is an optical flow sensor?
An optical flow sensor is a vision sensor capable of measuring optical flow or visual motion and output a displacement measurement based on optical flow (image Pixels counts). This sensor have wide applications and be used for quadcopter position and altitude holding (hovering).
