Richard Szeliski – Communications of the ACM

Research and Advances Jan 1 2017

Technical Perspective: Magnifying Motions the Right Way

"Eulerian Video Magnification and Analysis" demonstrates that phase differences at a given frequency band, due to subtle motions in a video, can be independently amplified and added back into the original signal.

Artificial Intelligence and Machine Learning

Author Archives

Research and Advances Nov 1 2012

Technical Perspective: Open Platforms For Computational Photography

A fundamental impediment to the widespread development and deployment of in-camera algorithms is the lack of a clean open architecture for controlling camera features and writing the corresponding real-time processing and viewing algorithms.

Artificial Intelligence and Machine Learning

Research and Advances Oct 1 2011

Building Rome in a Day

We present a system that can reconstruct 3D geometry from large, unorganized collections of photographs. Our experimental results demonstrate that it is possible to reconstruct city-scale image collections with more than a hundred thousand images in less than a day.

Artificial Intelligence and Machine Learning

Research and Advances Jun 1 1992

Modeling and analysis of empirical data in collaborative environments

Architecture and Hardware

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