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Stereo Vision Project III. By: Rob Gilliland Class: ECE563 Image Processing Due: 4/2/2007. Input Images. Magnitude of the Motion Vector and Optical Flow. Bmaoflow3 inputs: Block size = 11 max x = 10, max y = 1. Set up conditions: images were taken from a camera 10 cm apart

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Stereo vision project iii

Stereo Vision Project III

By: Rob Gilliland

Class: ECE563 Image Processing

Due: 4/2/2007



Magnitude of the motion vector and optical flow
Magnitude of the Motion Vector and Optical Flow

Bmaoflow3 inputs: Block size = 11 max x = 10, max y = 1

Set up conditions:

images were taken from a camera 10 cm apart

wine bottle on left 72 cm from camera, cup on right 112 cm from camera


Magnitude of the motion vector and optical flow comments
Magnitude of the Motion Vector and Optical Flow Comments

  • Notice the magnitude to the motion vector is highest for the wine bottle as expected because it is the closest.

  • The cup on the right has the next highest magnitude of the motion vector.

  • The large amount of noise in the background is due to the blanket being imaged not having enough variation.


Optical flow estimation
Optical Flow Estimation

  • Optical Flow Estimation was done with the ‘bmaoflow3.m’ function which computes block matching optical flow estimation.

  • Block matching does an exhaustive search over one image with a block of pixels for each pixel in another image.

  • The minimum error in both the x and y direction is then recorded and can be used to estimate the depth of each pixel.


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