Ravi Kumar Kallakunta,Asst.Prof, Dr. Balaji Savadam, HOD, Mahidhar Chowdary Mullapudi, 4/4 batch student of ECM dept, have authored a paper and was published in "International Journal of Scientific & Engineering Research"

Abstract 

We propose a location geometric similarity scoring method that is invariant to rotation, scale, and translation, and can be easily incorporated in mobile visual search and augmented reality systems. We present a fast and efficient geometric re-ranking method that can be incorporated in a feature based image-based retrieval system that utilizes a Vocabulary Tree (VT). We form feature pairs by comparing descriptor classification paths in the VT and calculate geometric similarity score of these pairs. We compare the performance of the location geometric scoring scheme to orientation and scale geometric scoring schemes. We show in our experiments that re-ranking schemes can substantially improve recognition accuracy. We can also reduce the worst case server latency up to 1 sec and still improve the recognition performance.

Index Terms: mobile visual Search, image-based retrieval, geometric verification, robust features