Institute of Computer Science
  1. Courses
  2. 2022/23 spring
  3. Computational Imaging (LTAT.02.025)
ET
Log in

Computational Imaging 2022/23 spring

  • Pealeht
  • Loengud
  • Assignments
    • Homework and Schedule
      • Information
      • Submit
        • Submit backup?
    • Essays
    • Projects
    • Exam
  • Help
  • Links

HW2. Light, Optics and Imaging (14th March, 23.59)

EX1 (3p) : Your ice-cream spoon can be used as a concave mirror, which forms an image half the size of the object. Then, you moved the spoon with respect to the object, to produce an image that is one third (1/3) the size of the object. If the spoon moved 2.5cm in this process, how far has the image moved? What is the focal length of the spoon concave mirror?

EX2 (3p) : A horse is 2.25 m tall, and it stands with its face 15 m away from the plane of a thin lens camera whose focal length is 3 m.

  1. Determine the location of the image of the nose of the horse. Assume the height of the nose to be 2.25m.
  2. What is the orientation of the image in the x and z direction? What is the magnification?
  3. How tall is the image?
  4. If the tail of the horse is located 17.5 m from the lens, how long is the image of the horse (from nose to the tail)?

EX3 (3p) : Your task is Image classification using Cats vs Dogs Dataset from the classifier code given below and plot model loss and model accuracy: You need to upload your plots and code.

https://colab.research.google.com/drive/1CqhhEtTAnizaeGQft_GF8n3g1ffAAIXJ?usp=sharing#scrollTo=ahg-r713dDQ7

  1. Convert the color images to grayscale and run the classifier on it. Compare your results with color images.
  2. Use Sobel and Gaussian filter and run the classifier.
  3. Upscaling and Downscaling processing on the image and run classifier on it.
  • Institute of Computer Science
  • Faculty of Science and Technology
  • University of Tartu
In case of technical problems or questions write to:

Contact the course organizers with the organizational and course content questions.
The proprietary copyrights of educational materials belong to the University of Tartu. The use of educational materials is permitted for the purposes and under the conditions provided for in the copyright law for the free use of a work. When using educational materials, the user is obligated to give credit to the author of the educational materials.
The use of educational materials for other purposes is allowed only with the prior written consent of the University of Tartu.
Terms of use for the Courses environment