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)
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).