Online feature-extraction and classification algorithm that learns representations of input patterns.
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Updated
Feb 26, 2017 - C++
Online feature-extraction and classification algorithm that learns representations of input patterns.
Mining Interesting Patterns from Uncertain Databases
A simple implementation of the Hough-Hesse transform to find lines in pictures.
A shot is a continious sequence of frames filmed in one go. The regions of discrepency between two shots is called the shot boundary. Various discriminatory features like the frame variance, mean, L2-norm etc are taken (as a means of representing video frame data) and then various classifiers are used to compare their performances in detecting t…
linear-classifier for Multi-Organ PlantNet
OpenCV pattern recgonition with OpenCL and OpenMP (2017)
Structural comparison algorithm. It can be used for finding structural patterns in data.
Self-organizing maps implementation.
Number recognition module using C with sample files (images)
Utility in C++ which implements region growing, finding perimeter and smoothening perimeter.
Performance and Complete Neural Network
Shape detection in point clouds from 2D LIDAR
Contains the codes for Extended Histogram of Gradients for object recognition developed by me during my PhD studies.
This project detects harris corner of the pattern, and cluster these corners based on the density,and then process these clustered pattern to identify which pattern it is and the object is find the feature points of these pattern and using pop to calculate the extrinsic parameters of the camera.
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