Content Based Image Retrieval

Geometrical computer vision and deep learning methods for creating a panorama image

ORB (Oriented FAST and Rotated BRIEF)

The implementation about feature matching using various method !!

ORB (Oriented Fast and Rotated BRIEF) feature for 16-bit image

BBM465*ASG4 - In this experiment, we did visual analysis using image files consisting of screenshots. With the threat intelligence module we produced for anti-phishing, we completed website brand classification with screenshots of phishing websites.

This algorithm counts occurrences of gradient orientation in localized portions of an image and visualize it in an image.

Comparative Evaluation of Feature Descriptors Through Bag of Visual Features with Multilayer Perceptron on Embedded GPU System, published in 17th IEEE Latin American Robotics Symposium/8th Brazilian Symposium of Robotics (LARS/SBR 2020)

Python implementation of multi-scale Harris corner detector with zernike feature descriptor as described in "Toward large-area mosaicing for underwater scientific applications".

Panoramic Image stitching using traditional and supervised and unsupervised deep learning methods to compute Homography

compooter vision

Implementation of basic ‘bag of visual words’ model using SIFT Algorithm and Shape Context Matching to identify and match logos on scanned documents.

In-memory index-structures for efficient retrieval of multimedia documents based on input queries.

FSRK : Fast Spherical Retina Keypoint

This is a clone and variation of original SIFT algorithm in robwhess/opensift. If you have used this in your research, please cite: P. S. Rodrigues, G. A. Wachs-Lopes, G. Antônio Giraldi and M. Horvath, in press. q-SIFT: A Strategy Based on Non-Extensive Statistic to Improve SIFT Algorithm Under Severe Conditions. Pattern Recognition.