Howtosignalprocessing
- What are the method for estimation of optical flow?
- What is optical flow technique?
- What is optical flow in machine learning?
- Why is optical flow important?
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 is optical flow technique?
Optical flow is a technique used to describe image motion. It is usually applied to a series of images that have a small time step between them, for example, video frames. Optical flow calculates a velocity for points within the images, and provides an estimation of where points could be in the next image sequence.
What is optical flow in machine 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.
Why is optical flow important?
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.
