Rensselaer is America’s oldest technological research university, offering bachelor’s, master’s, and doctoral degrees in engineering, the sciences, information technology and web science, architecture, management, and the humanities, arts, and social sciences.

The university offers degrees from five schools: Engineering; Science; Architecture; Humanities, Arts, and Social Sciences; and the Lally School of Management; as well as an interdisciplinary degree in Information Technology and Web Science.

Rensselaer offers more than 145 programs at the bachelor’s, master’s, and doctoral levels. Students are encouraged to work in interdisciplinary programs that allow them to combine scholarly work from several departments or schools. The university provides rigorous, engaging, interactive learning environments and campus-wide opportunities for leadership, collaboration, and creativity.

Driven by talented, dedicated, and forward-thinking faculty, Rensselaer has dramatically expanded the research enterprise by leveraging our existing strengths and focusing on five signature research areas: biotechnology and the life sciences; energy and the environment; computational science and engineering; nanotechnology and advanced materials; and media, arts, science, and technology.

The Institute is especially well-known for its success in the transfer of technology from the laboratory to the marketplace so that new discoveries and inventions benefit human life, protect the environment, and strengthen economic development.

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NSF CAREER award

NSF Engineering Research Center for Lighting Enabled Services and Applications (LESA)

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A Systematic Evaluation and Benchmark for Person Re-Identification: Features, Metrics, and Datasets

Re-Identification with Consistent Attentive Siamese Networks

A Multimodal-Sensor-Enabled Room for Unobtrusive Group Meeting Analysis

Modern blockbuster movies seamlessly introduce impossible characters and action into real-world settings using digital visual effects. These effects are made possible by research from the field of computer vision, the study of how to automatically understand images. Computer Vision for Visual Effects will educate students, engineers, and researchers about the fundamental computer vision principles and state-of-the-art algorithms used to create cutting-edge visual effects for movies and television. The author describes classical computer vision algorithms used on a regular basis in Hollywood (such as blue screen matting, structure from motion, optical flow, and feature tracking) and exciting recent developments that form the basis for future effects (such as natural image matting, multi-image compositing, image retargeting, and view synthesis). He also discusses the technologies behind motion capture and three-dimensional data acquisition. More than 200 original images demonstrating principles, algorithms, and results, along with in-depth interviews with Hollywood visual effects artists, tie the mathematical concepts to real-world filmmaking.

Computer Vision for Visual Effects

Richard J. Radke joined the Electrical, Computer, and Systems Engineering Department at Rensselaer in 2001, where he is now a full professor. 
Radke’s current research interests involve computer vision problems related to human-scale, occupant-aware environments, such as person tracking and re-identification with cameras and range sensors.
Radke is affiliated with the NSF Engineering Research Center for Lighting Enabled Services and Applications (LESA), the DHS Centers of Excellence on Explosives Detection, Mitigation and Response (ALERT) and Soft target Engineering to Neutralize the Threat Reality (SENTRY), and Rensselaer’s Experimental Media and Performing Arts Center (EMPAC) and Cognitive and Immersive Systems Laboratory (CISL). He has bachelor’s and master’s degrees in computational and applied mathematics from Rice University, and master’s and doctoral degrees in electrical engineering from Princeton University. 
He received an NSF CAREER award in March 2003 and was a member of the 2007 DARPA Computer Science Study Group. Dr. Radke is a senior member of the IEEE and was a senior area editor of IEEE Transactions on Image Processing. His textbook Computer Vision for Visual Effects was published by Cambridge University Press in 2012. His YouTube Channel contains many annotated lectures on signal processing, engineering probability, image processing, and computer vision.

Social Signal Processing

Video Processing

Human-Scale, Occupant-Aware Environments

Radiotherapy

Smart Lighting

Computer Vision

Video Analytics

Visual Effects

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Computer Vision for Visual Effects Website

New Lab Helps Manufacturers Make the Most of Augmented Reality Technology

RPI Kicks Off First Full Semester For Virtual Reality Lab

Professor, Electrical, Computer, and Systems Engineering

This is an introduction to my research lab at RPI.   My group works on computer vision and machine learning problems applied to large-scale, occupant-aware environments.



Rich Radke
Dept. of Electrical, Computer, and Systems Engineering
Rensselaer Polytechnic Institute
rjradke@ecse.rpi.edu
https://ecse.rpi.edu/~rjradke




Music is Wow Wow (Instrumental) by Neil Cicierega
https://www.youtube.com/watch?v=5EIez79GWI0

The Radke Lab @ RPI

Probability Bites Lesson 0
Introduction

Rich Radke
Department of Electrical, Computer, and Systems Engineering
Rensselaer Polytechnic Institute

PB 0: Introduction

The best work from 
ECSE-4620/6620, Computer Vision for Visual Effects, Fall 2021 

Rich Radke
Department of Electrical, Computer, and Systems Engineering
Rensselaer Polytechnic Institute

Computer Vision for Visual Effects 2021

Rensselaer Augmented and Virtual Environment (RAVE) Lab

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