Practical aspects of Computer Vision — Summer 2022

Enlist fundamental steps involved in image processing with block diagram.

Explain Human Visual system in detail with necessary sketch.

Explain Histogram equalization with necessary equations.

Differentiate between spatial domain and frequency domain operations

Explain any two Image Transforms.

Explain Harris Corner Detector algorithm.

Explain Scale Invariant Feature Transform.

Dissuss affine transformation.

Write down python code of plotting an image with a few points and a line.

Write a short note on homography & also explain direct linear Transformation algorithm.

State different limitations of a pinhole camera & how to overcome these Limitations?

Explain 3D reconstruction in brief.

Write a short note on stereo images.

Write a note on Image Scaling.

Explain below terms in the context of transformations in 2D.

Scaling (ii) Shearing

Explain image registration process in detail.

Discuss Content-based Image Retrieval.

What do you mean by clustering? Also explain K-means clustering.

Write a short note on epipolar geometry in detail.

What do you mean by Image Mosaicing?

Explain about Indexing images in brief.

What is the significance of Principal Component Analysis (PCA)?explain In detail.

Explain Camera Calibration.

Discuss Graph Cut in the context of image segmentation.

Write a note on Optical character recognition.