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Jamie Schiel

dblp:140/7929 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Artificial intelligence and machine learning · 1Graphics, 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
1 paper
Computational photography and imaging · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computational photography and imaging
depth estimation
0.212016
Macroscopic Interferometry: Rethinking Depth Estimation with Frequency-Domain Time-of-Flight · CVPR 2016
Computational photography and imaging › time-of-flight imaging
time-of-flight depth sensing
0.212016
Macroscopic Interferometry: Rethinking Depth Estimation with Frequency-Domain Time-of-Flight · CVPR 2016

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

phase-based sampling · 0.2frequency-domain sampling · 0.2
YearPublicationVenuePosition
2016 Macroscopic Interferometry: Rethinking Depth Estimation with Frequency-Domain Time-of-Flight
abstract
A form of meter-scale, macroscopic interferometry is proposed using conventional time-of-flight (ToF) sensors. Today, ToF sensors use phase-based sampling, where the phase delay between emitted and received, high-frequency signals encodes distance. This paper examines an alternative ToF architecture, inspired by micron-scale, microscopic interferometry, that relies only on frequency sampling: we refer to our proposed macroscopic technique as Frequency-Domain Time of Flight (FD-ToF). The proposed architecture offers several benefits over existing phase ToF systems, such as robustness to phase wrapping and implicit resolution of multi-path interference, all while capturing the same number of subframes. A prototype camera is constructed to demonstrate macroscopic interferometry at meter scale.
Achuta Kadambi, Jamie Schiel, Ramesh Raskar
CVPR2