617-384-9091
iacs-info@seas.harvard.edu
Tuesday, January 10, 2017
12:00 PM - 2:30 PM
This seminar will be particularly valuable for anyone interested in using MATLAB to process, visualize, and quantify imagery. Rather than focus on extracting information from a few homogeneous images, we will introduce a typical real-world challenge, and discuss approaches to managing and exploring collections of widely heterogeneous images. We will also describe approaches to implementing deep learning networks in MATLAB, and will compare and contrast those approaches with more traditional computer vision and machine learning techniques.
In this presentation, we will:
* Explore and manage a range of real-world image sets
* Solve challenging image processing problems with user interfaces
* Classify images by content using machine learning techniques
* Detect, recognize, and track objects and faces in images
Pre-requisites:
Attendees must bring a laptop to this hands-on workshop with MATLAB already installed.