Iowa State University - ComSci 575 - Computational Perception - Spring 2019

Topics Covered in this class:

• Statistical and algorithmic methods of sensing and recognition
• Overview of computational perception
• Matlab for computer vision and audio
• OpenCV
• Speech Recognition
• Image processing and filtering
• Kalman filters and Particle filters
• Face detection and recognition (eigenfaces, cascades, and neural network approaches)
• FFT (Fast Fourier Transform)
• Audio filtering and feature extraction
• Hidden Markov Models for activity and speech recognition
• Sense of self and Sensory substitution
• Theories of vision and intelligence

This project includes the code from several homework projects.

• hw2: Working with OpenCV to solve word search puzzle images.
• hw3: Using OpenCV to track and detect moving objects in videos.
• hw4: Implementing the FFT and IFFT algorithms to process audio
• hw6: Implementing Hidden Markov Models for recognition
• Final Project: Autonomous Floor-Mapping Robot: https://github.com/kskrueger/CS575_FinalProject