Let's Face It! - Face recognition training program (for personal purposes only not to sell, distribute, or use for research)
It is a modular tool that can be easily modified for other video annotating applications.
mex interfaces are provided for many of these core libraries for those who like using Matlab.Ī toolbox MPT developed to facilitate manual coding of video sequences.
In addition, MPT supplies many examples which show how to embed the MPT funct ions in applications, and which are useful applications in their own right. Soon it will also include expression recognition, predictive color tracking, and tracking based on multisensor fusion. MPT supplies cross-platform C++ libraries for real-time perception primitives, including face detection, eye detection, blink detection, color tracking. RUBIOS is has been battle tested in MacOSX 10.4.X and Windows XP with Cygwin. RUBI is a social robot developed to interact with toddlers and assist teachers in early childhood education settings. It was developed as part of the RUBI project to be the backbone for interconnecting the different perceptual and control modules of the RUBI robot. NMPT has been tested in MacOSX 10.4+ and Windows XP with Cygwin, and was developed to be fully cross-platform.Ī Java based Open Source communications API for for Social Robots. Future versions of NMPT will also include facilities for optimal visual search. In this first release of Version 0.1, the main component of NMPT is an ultra-efficient implementation of the SUN model, a maximum-information approach to visual saliency developed by Zhang & Cottrell.
The central philosophy of this package is three-fold: (1) Easy to Install (2) Easy to Learn API (3) Easy to Run. It is being developed as part of an NSF funded project to use information maximization as a conceptual framework for unifying perception and action. Machine Perception Laboratory: Software - Ī C++ and OpenCV based open source Machine Perception API. Links in this page include a tutorial on using ICA for EEG decomposition.
First developed on Matlab 5.3 under Linux, EEGLAB runs on Matlab v5 and higher under Linux, Unix, Windows, and Mac OS X (Matlab 7 recommended). Scott Makeig et al.'s interactive Matlab toolbox for processing continuous and event-related EEG, MEG and other electrophysiological data incorporating independent component analysis (ICA), time/frequency analysis, artifact rejection, event-related statistics, and several useful modes of visualization of the averaged and single-trial data. The original Independent Components Analyses - īasic ICA code in MATLAB (as used in Bell and Sejnowski 1996 (as used in Bell and Sejnowski 1996) "Use Divvy to better understand your scientific data." ĭivvy: A tool for exploratory data analysis with unsupervised machine learning. This is Yufei Wang's implementation of the Convolutional Neural Network visualization algorithm by Matthew Zeiler and Rob Fergus in the 2013 paper "Visualizing and Understanding Convolutional Networks" on arxiv at.