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Tyler Hutchison

dblp:67/2750 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2011
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 3Graphics, computer vision, multimedia, augmented reality and games · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
2 papers
Computational photography and imaging · 100%
Artificial intelligence
2 papers
3D vision · 100%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational photography and imaging › time-of-flight imaging
transient imaging
0.222011
Looking Around the Corner using Ultrafast Transient Imaging · Int. J. Comput. Vis. 2011
Looking around the corner using transient imaging · ICCV 2009
Computational photography and imaging
non-line-of-sight imaging
0.112009
Looking around the corner using transient imaging · ICCV 2009
Computational photography and imaging › 3d vision
scene geometry reconstruction
0.112009
Looking around the corner using transient imaging · ICCV 2009
Computer vision › 3D vision
depth and reconstruction
0.012009
Looking around the corner using transient imaging · ICCV 2009

Methods — techniques the papers use, named apart from their topics

ultrafast time-of-flight · 0.2maximum likelihood estimation · 0.2multipath analysis · 0.1multi-path analysis · 0.1
YearPublicationVenuePosition
2011 Looking Around the Corner using Ultrafast Transient Imaging
Ahmed Kirmani, Tyler Hutchison, James Davis 0001, Ramesh Raskar
Int. J. Comput. Vis.2
2009 Looking around the corner using transient imaging
abstract
We show that multi-path analysis using images from a timeof-flight (ToF) camera provides a tantalizing opportunity to infer about 3D geometry of not only visible but hidden parts of a scene. We provide a novel framework for reconstructing scene geometry from a single viewpoint using a camera that captures a 3D time-image I(x, y, t) for each pixel. We propose a framework that uses the time-image and transient reasoning to expose scene properties that may be beyond the reach of traditional computer vision. We corroborate our theory with free space hardware experiments using a femtosecond laser and an ultrafast photo detector array. The ability to compute the geometry of hidden elements, unobservable by both the camera and illumination source, will create a range of new computer vision opportunities.
Ahmed Kirmani, Tyler Hutchison, James Davis 0001, Ramesh Raskar
ICCV2
2008 Semantic Building Blocks in Genetic Programming
Nicholas Freitag McPhee, Brian Ohs, Tyler Hutchison
EuroGP3