Computer vision seminar

  • Computer vision topics

    Computer vision subsystems

    Image enhancement.Transformations.Filtering, Fourier and wavelet transforms and image compression.Color vision.Feature extraction.Pose estimation.Registration.Visual recognition..

Learning Objectives

Upon completion of this course, students will:.
1) Be familiar with both the theoretical and practical aspects of computing with images;.
2) Have described the foundation of image formation, measurement, and analysis;.
3) Have implemented common methods for robust image matching and alignment;.
4) Understand the geometric relationships between 2D image.


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