Tata Institute of Fundamental Research
Using Bispectrum Invariants to Classify Translated and Rotated Images
STCS Student Seminar
Speaker:
Neha Sangwan
Organiser:
Siddharth Bhandari
Date:
Friday, 18 Aug 2017, 17:15 to 18:15
Venue:
A-201 (STCS Seminar Room)
(Scan to add to calendar)
Abstract:
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).
| Speaker: | Neha Sangwan |
| Organiser: | Siddharth Bhandari |
| Date: | Friday, 18 Aug 2017, 17:15 to 18:15 |
| Venue: | A-201 (STCS Seminar Room) |
(Scan to add to calendar)
Abstract:
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).