Practical aspects of Computer Vision — Summer 2023

Explain basic component of Digital Image Processing.

Enlist fundamental steps involved in image processing with block

dEixapglraaimn .Histogram equalization with necessary equations.

Explain warping of images with python programming or pseudo code.

What do you mean by geo-tagged images? From where it can be (dio) wnlo aded?

Explain Scale Invariant Feature Transform. (ii) OR

(Diiiis)c uss basic steps of image filtering in frequency domain.

Explain K-nearest neighbor classifier.

Discuss Image mosaicing.

Explain Harris Corner Detector algorithm.

Discuss camera matrix.

Write a short note on affine transform.

Explain Scale Invariant Feature Transform.

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

Explain camera calibration.

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

Scaling (ii) Shearing

Write a note on RANSAC.

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

Write a short note on epipolar geometry in detail.

Explain 3D reconstruction in brief.

Explain about Indexing images in brief.

Write a note on support vector machine algorithm.

Write a short note on Augmented Reality.

Discuss image segmentation using Clustering.

Explain the significance of Principal Component Analysis (PCA) technique for dimensionality reduction of large Data set.