School of Technology and Computer Science Seminars
Using Bispectrum Invariants to Classify Translated and Rotated Images
by Neha (School of Technology and Computer Science, TIFR)
Friday, August 18, 2017
from
to
(Asia/Kolkata)
at A-201 (STCS Seminar Room)
at A-201 (STCS Seminar Room)
Description |
In this talk, we will study the PhD-work of Risi Kondor in which he demonstrates how bispectrum invariants can be used to classify translated and rotated images. The basic idea is to map the image in some 2-dimensional space to a unit sphere. Then a translation or a rotation of the input image is given by an element of the group $SO(3)$ acting on the (image wrapped about the) sphere. Kondor shows that the bispectrum of the image yields a translation and rotation invariant feature vector, which can be used to classify digits (this work was done at CMI under the guidance of K. V. Subrahmanyam). |