Anubha Pearline S thesis titled “Performance Analysis of Plant Species Recognition using Conventional and Deep Learning Techniques” presented in the PhD Colloquium during the 5th IAPR International Conference on Computer Vision and Image Processing (CVIP 2020) from 4th-6th December, 2020.
Face recognition system is one of the prominent research areas in pattern recognition and computer vision because of its major challenges. Some of the challenges in recognizing faces are blur, illumination, and varied expressions. To solve these issues, facial expressions are removed from face images using a pre-processing technique and Blur and Illumination-Robust Face recognition algorithm was applied to identify the person.
Refinder system refinds web pages and local files in our system. It leverages human’s natural recall characteristics and allows users to re-find files and Web pages according to the previously accessed context. Refinder refinds information based on a query-by-context model over a context memory snapshot, linking to the accessed information contents. The events in the memory snapshot are organized in clustered and associated manner.