Stereo vision project iii
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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

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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

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


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 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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