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

A Cython interface to FLANN

Image key points Extraction, Description, Feature Matching

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

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

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

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…

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

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

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

A package for registration of wide range astronomical images of stars, galaxies and clusters using SIFT, FLANN and RANSAC algorithms for extreme precision applications

数字媒体作业

Panorama Image Stitching Using SIFT and SURF Keypoint Descriptors

Clustering scenes

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

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

📽️🖥️ 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).

Here you can find some commonly used algorithms in 3D image processing (3D Bildverarbeitung).