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computer vision

by   -   December 19, 2016
In 2016, MIT CSAIL researchers worked on a range of projects in robotics, theory, wireless technology, software systems, and other disciplines. Image: CSAIL
In 2016, MIT CSAIL researchers worked on a range of projects in robotics, theory, wireless technology, software systems, and other disciplines. Image: CSAIL

Machines that predict the future, robots that patch wounds and wireless emotion-detectors are just a few of the exciting projects that came out of MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) this year. Here’s a sampling of 16 highlights from 2016 that span the many computer science disciplines that make up CSAIL.

by   -   October 20, 2015

Fully autonomous robotics could be developed today if objects could tell a robot what they are, their purpose and how to utilize them. Liatris is a new open source project built with ROS. Its objective is to reliably read an object’s pose and identity without relying on vision. It presents an opportunity to rip down the barriers that prevent robotics from being present in our everyday lives.

When we look at a fine art painting, we can infer information about its style (e.g. Baroque vs. Impressionism), genre (e.g. a portrait or a landscape), and even the artist who painted it. This impressive ability of human perception for learning and judging complex aesthetic-related visual concepts has long been thought to not be a logical process. In our research, however, we tackle this problem using a computational methodology, to show that machines can in fact learn such aesthetic-related concepts.

interview by   -   October 3, 2014

Peter_Corke_Vision
Source: Peter Corke

In this episode, Audrow Nash interviews Peter Corke from Queensland University of Technology, about computer vision – the subject of his plenary talk at IROS 2014 (link to slides below). He begins with a brief history of biological vision before discussing some early and more modern implementations of computer vision. Corke also talks about resources for those interested in learning computer vision, including his book, Robotic Vision & Control, and a massively open online course (MOOC) that he plans to release in 2015. 



IASP 2016 (Part 2 of 3): Trik Embedded Platform
May 13, 2017


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