Edward Adelson

John and Dorothy Wilson Professor

Department
Department of Brain and Cognitive Sciences
Technology Areas
Artificial Intelligence (AI) and Machine Learning (ML) / Communication Systems: Optical / Industrial Engineering & Automation: Robotics / Biotechnology: Prostheses, Sensors & Monitoring / Computer Science: Bioinformatics

Background and Experience

Edward Adelson is the John and Dorothy Wilson Professor of Vision Science at MIT, in the Department of Brain and Cognitive Sciences, and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL). He was elected to the National Academy of Sciences in 2007, and to the American Academy of Arts and Sciences in 2010. Adelson has over 100 publications on topics in human vision, machine vision, computer graphics, neuroscience, and computational photography. He is well known for contributions to multiscale image representation (such as the Laplacian pyramid) and basic concepts in early vision such as steerable filters and motion energy models. His work on layered representations for motion won the IEEE Computer Society’s Longuet-Higgins Award (2005). Adelson introduced the plenoptic function and built the first plenoptic camera. His work on the neural mechanisms of motion perception was honored with the Rank Prize in Optoelectronics (1992). He has done pioneering work in computational photography, including the areas of image merging, denoising, and high dynamic range imaging. He has produced some well-known illusions such as the Checker-Shadow Illusion. His lab is now focused on artificial touch sensing for robotics, based on a novel elastomeric technology that allows the construction of robot fingers that are soft and sensitive like human fingers.

Technologies

Hand Exoskeleton System for Data Collection

Technology / Case number: #26180
Branden Romero / Pulkit Agrawal / Edward Adelson / Haoshu Fang / Arthur Hu
Technology Areas: Biotechnology / Computer Science
Impact Areas: Healthy Living
License

Visual Dexterity: In-hand Dexterous Manipulation from Depth

Technology / Case number: #24851
Tao Chen / Pulkit Agrawal / Edward Adelson / Megha Tippur
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Communication Systems / Industrial Engineering & Automation
Impact Areas: Uncharted Frontiers
License

Sign up for technology updates

Sign up now to receive the latest updates on cutting-edge technologies and innovations.