Hi I'm Aadhya
I am a computer vision engineer
I like understanding how technology sees and interprets visual input
I've replicated popular computer vision methods through my graduate course
I calculated the camera matrix parameters through utilizing different perspectives of images of checkerboards to obtain extrinsic parameters to calculate intrinsic parameters. I optimized camera parameters by reducing re-projection error by 11%
SciPy
Python
epipolar
numpy
Successfully created Face Swap in real time through the utilizing state of the art face-warping methods such as Triangulation and Thin Plate Spline
Python
Triangulation
opencv
I used the classical Structure From Motion technique to find poses of different views of a camera. I constructed scenes through volumetric representation using images from different angles by implementing NeRF.
Pytorch
Python
Neural Network
I Implemented PB boundary detection algorithm by creating image processing tools: texton, color, and brightness map. I trained and tested a Neural Network in Pytorch to compare sobel and canny edge detection algorithm.
Pytorch
Python
Neural Network
Image Processing
Gaussian