Image Warping : Prof. Prem Kalra, CSE, IIT Delhi
Given an image which has been deformed using a Projective Transformation, we need to restore it back to the original image. We implemented the SIGGRAPH 2006 paper Image Deformation using Moving Least Squares
and compared the result to simple Delaunay Triangulation. Using the implementation of the paper, Marilyn Monroe
can be made to smile like this.
Image Sketching : Prof. Prem Kalra, CSE, IIT Delhi
In this assignment, we implemented a tool to create a pencil sketched version of a city map or a portrait. Various references like this
were studied. The final result is something that makes my favourite guitarist (Brad Delson
) look like this.
Image & Video Compression : Prof. Prem Kalra, CSE, IIT Delhi
We implemented and compared different compression schemes for images and videos like Gaussian/LaPlacian Pyramids
(as described here
) and standard dictionary based approaches like LZW
. For video, we achieved further compression by computing interframe correlation and subtracting all the static components of the video.
Cortical Image Flattening : Prof. Shantanu Ghosh & Prof. Sumantra Dutta Roy
We considered the problem of image flattening of the Cortical Surface of the Human Brain. Images of the Brain are acquired through MRI (Structural and Functional) scans, which operates on the principle of Nuclear Magnetic Resonance
The output is a 3D image of the brain, which is analyzed as slices of 2D images. However, since the surface of the brain is highly convoluted, this distorts distance between two points on the surface and makes it difficult to see the tumours that lie deep in a Sulcus(depression). Our approach was to think of the flattening as a mapping from a 3D surface to a 2D plane, preserving neighbourhood topology and minimizing surface distortion.