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Daniel J. Butler
Researcher at University of Washington
Publications - 8
Citations - 2109
Daniel J. Butler is an academic researcher from University of Washington. The author has contributed to research in topics: Optical flow & Motion blur. The author has an hindex of 6, co-authored 7 publications receiving 1663 citations. Previous affiliations of Daniel J. Butler include Massachusetts Institute of Technology.
Papers
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Book ChapterDOI
A naturalistic open source movie for optical flow evaluation
TL;DR: A new optical flow data set derived from the open source 3D animated short film Sintel is introduced, which has important features not present in the popular Middlebury flow evaluation: long sequences, large motions, specular reflections, motion blur, defocus blur, and atmospheric effects.
Patent
Assisted video surveillance of persons-of-interest
TL;DR: In this article, the detection of moving persons in video frames, extraction of features of the detected moving persons and identification of the likely matches are likely matches to a person of interest are described.
Proceedings ArticleDOI
The Privacy-Utility Tradeoff for Remotely Teleoperated Robots
TL;DR: This paper defines and explores the privacy-utility tradeoff for remotely teleoperated robots, and finds that respondents do desire privacy protective measures from teleoperators, that respondents prefer certain visual filters from a privacy perspective, and that one can identify a filter that balances privacy with utility.
Book ChapterDOI
Lessons and insights from creating a synthetic optical flow benchmark
TL;DR: The experience with Sintel is distill into a set of best practices for using computer animation to generate scientific data for vision research.
Journal ArticleDOI
3D Wikipedia: using online text to automatically label and navigate reconstructed geometry
TL;DR: This work introduces an approach for analyzing Wikipedia and other text, together with online photos, to produce annotated 3D models of famous tourist sites, which leverages online text and photo co-occurrences via Google Image Search.