Match a cropped image to the original image with an efficient algorithm using Python and OpenCV.

A Julia wrapper for Fast Library for Approximate Nearest Neighbors (FLANN)

Image key points Extraction, Description, Feature Matching

A Cython interface to FLANN

A vision-based nutrition management system (mobile + server) for users, where users can track the calorie and nutrient intake of the food products purchased, using the concepts of image processing, computer vision and machine learning to accurately predict names of cereal boxes, fruits, vegetables etc. The images are classified using the concept…

Object 2D Pose Estimation trained by RGB Data - Using Intel® RealSense D435

Processing videos of digital electricity meter to extract readings using OpenCV and Python

Clustering scenes

6 DOF arm manipulation, utilizing knowledge-based reasoning, BDI and HTN planning

📽️🖥️ Track objects on your camera or on a video.

Tracking the preceding vehicle using Lidar and camera sensors to calculate the Time To Collision (TTC).

Panorama Image Stitching Using SIFT and SURF Keypoint Descriptors

Testing various detector / descriptor combinations to see which ones perform best to be used in a collision detection system. Also 2 different approaches (FLANN vs. Brute-force with the descriptor distance ratio test) for keypoints matching are tested.

Project: 2D Feature Tracking || Udacity: Sensor Fusion Engineer Nanodegree

Codes written during course Nature Inspired Computing

Feature Tracking and testing of various keypoint detector/descriptor combinations, keypoint matching using Brute Force and FLANN approach.

Python bindings for FLANN - Fast Library for Approximate Nearest Neighbors. (With Python 3 compatibility patches)

Research NN searching method FLANN

Example Image Recognition using OpenCV 3.0 (custom filters, flann & surf)