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Alessia Marra

dblp:161/9507 · DBLP profile ↗
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2ranked-venue papers
1as first author
0since 2021 · last 2017
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 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
Multimedia analysis and retrieval · 50% Rendering · 50%
Human-computer interaction and pervasive computing
1 paper
Immersive interaction · 77% Learning and educational technologies · 23%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Multimedia analysis and retrieval › object tracking
deformable object tracking
0.212015
Live Texturing of Augmented Reality Characters from Colored Drawings · IEEE Trans. Vis. Comput. Graph. 2015
Rendering
texture mapping
0.212015
Live Texturing of Augmented Reality Characters from Colored Drawings · IEEE Trans. Vis. Comput. Graph. 2015

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

surface deformation recovery · 0.4outlier rejection · 0.4
YearPublicationVenuePosition
2017 2017 Cover Image: Mixing Bowl
Alessia Marra, Maurizio Nitti, Marios Papas, Thomas Müller 0013, Markus Gross 0001, Wojciech Jarosz, Jan Novák
Comput. Graph. Forum1
2015 Live Texturing of Augmented Reality Characters from Colored Drawings
abstract
Coloring books capture the imagination of children and provide them with one of their earliest opportunities for creative expression. However, given the proliferation and popularity of digital devices, real-world activities like coloring can seem unexciting, and children become less engaged in them. Augmented reality holds unique potential to impact this situation by providing a bridge between real-world activities and digital enhancements. In this paper, we present an augmented reality coloring book App in which children color characters in a printed coloring book and inspect their work using a mobile device. The drawing is detected and tracked, and the video stream is augmented with an animated 3-D version of the character that is textured according to the child's coloring. This is possible thanks to several novel technical contributions. We present a texturing process that applies the captured texture from a 2-D colored drawing to both the visible and occluded regions of a 3-D character in real time. We develop a deformable surface tracking method designed for colored drawings that uses a new outlier rejection algorithm for real-time tracking and surface deformation recovery. We present a content creation pipeline to efficiently create the 2-D and 3-D content. And, finally, we validate our work with two user studies that examine the quality of our texturing algorithm and the overall App experience.
Stéphane Magnenat, Dat Tien Ngo, Fabio Zünd, Mattia Ryffel, Gioacchino Noris, Gerhard Röthlin, Alessia Marra, Maurizio Nitti, Pascal Fua, Markus Gross 0001, Robert W. Sumner
IEEE Trans. Vis. Comput. Graph.7