White balance camera-rendered sRGB images (CVPR 2019) [Matlab & Python]

🎨 Color recognition & classification & detection on webcam stream / on video / on single image using K-Nearest Neighbors (KNN) is trained with color histogram features by OpenCV.

Reference code for the paper HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms (CVPR 2021).

Python Image Search Engine with OpenCV

Sensor-Independent Illumination Estimation for DNN Models (BMVC 2019)

Explore object recognition, segmentation, and how to process depth data from camera sensors to help a robot better understand and navigate its world.

Repository containing all the codes created for the lab sessions of CSE3018 Content Based Image and Video Retrieval at VIT University Chennai Campus

Image Search Engine

Lab Experiments under Lab component of CSE3018 - Content-based Image and Video Retrieval course at Vellore Institute of Technology, Chennai

CRISP is a Fast Image Search application that retrieves similar images from a database based on the query image by using Parallel computing paradigm.

Multiple Moving objects in a surveillance video were detected and tracked using ML models such as AdaBoosting. The obtained results were compared with the results from Kalman Filter.

Tool for analyzing the color histogram of a corpus of images

Code to perform Image Colour HIstogram Matching between two Images

A library to convert RGBA colors to HSV and create approximate color histograms, written in Go.

The project was run in ROS and RViz simulation to practice 3D image segmentation and train a robot with SVM algorithm.

Adaptive color-based particle filtering for object tracking in video sequences.

Pembuatan Aplikasi Desktop Pengenalan Jenis Masker dengan Metode Color Histogram dan Euclidean Distance

Create a moving object detection and tracking program using MATLAB & Python.

This is a computer vision project using python3 and conventional computer vision techniques to determine a relative distance between two points in a given scene. [DOCUMENTED]