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Emiko Charbonneau

dblp:37/7995 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2014
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 3 · 1 first-authorHuman-computer interaction and ubiquitous computing · 2 · 1 first-author

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
Virtual and augmented reality · 50% Geometric modeling and processing · 50%
Human-computer interaction and pervasive computing
1 paper
Personal fabrication and tangible interfaces · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Geometric modeling and processing
3d model acquisition
0.112012
Interactive 3D Model Acquisition and Tracking of Building Block Structures · IEEE Trans. Vis. Comput. Graph. 2012
Virtual and augmented reality › immersive interaction
tangible interaction
0.112012
Interactive 3D Model Acquisition and Tracking of Building Block Structures · IEEE Trans. Vis. Comput. Graph. 2012

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

lattice-first algorithm · 0.3depth sensing · 0.3
YearPublicationVenuePosition
2014 Dance Enhanced: Investigating how earning content through exertion impacts dance game enjoyment
Emiko Charbonneau, Sarah Holderness, Jared N. Bott, Florian 'Floyd' Mueller, Joseph J. LaViola Jr.
FDG1
2013 Exploring Minecraft as a conduit for increasing interest in programming
Christopher Zorn, Chadwick A. Wingrave, Emiko Charbonneau, Joseph J. LaViola Jr.
FDG3
2012 Interactive 3D Model Acquisition and Tracking of Building Block Structures
abstract
We present a prototype system for interactive construction and modification of 3D physical models using building blocks. Our system uses a depth sensing camera and a novel algorithm for acquiring and tracking the physical models. The algorithm, Lattice-First, is based on the fact that building block structures can be arranged in a 3D point lattice where the smallest block unit is a basis in which to derive all the pieces of the model. The algorithm also makes it possible for users to interact naturally with the physical model as it is acquired, using their bare hands to add and remove pieces. We present the details of our algorithm, along with examples of the models we can acquire using the interactive system. We also show the results of an experiment where participants modify a block structure in the absence of visual feedback. Finally, we discuss two proof-of-concept applications: a collaborative guided assembly system where one user is interactively guided to build a structure based on another user's design, and a game where the player must build a structure that matches an on-screen silhouette.
Brandyn White, Emiko Charbonneau, Zach Kanzler, Joseph J. LaViola Jr.
IEEE Trans. Vis. Comput. Graph.3