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Fabio Zünd

Researcher at ETH Zurich

Publications -  22
Citations -  363

Fabio Zünd is an academic researcher from ETH Zurich. The author has contributed to research in topics: Augmented reality & Image compression. The author has an hindex of 8, co-authored 22 publications receiving 304 citations. Previous affiliations of Fabio Zünd include Disney Research.

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Proceedings ArticleDOI

Augmented creativity: bridging the real and virtual worlds to enhance creative play

TL;DR: This work proposes the concept of Augmented Creativity as employing on modern mobile devices to enhance real-world creative activities, support education, and open new interaction possibilities, and shows how to transform passive game interaction into active real- world movement that requires coordination and cooperation between players.
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Live Texturing of Augmented Reality Characters from Colored Drawings

TL;DR: This paper presents an augmented reality coloring book App in which children color characters in a printed coloring book and inspect their work using a mobile device, and develops a deformable surface tracking method designed for colored drawings that uses a new outlier rejection algorithm for real-time tracking and surface deformation recovery.
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Facial performance enhancement using dynamic shape space analysis

TL;DR: A technique for adding fine-scale details and expressiveness to low-resolution art-directed facial performances, such as those created manually using a rig, via marker-based capture, by fitting a morphable model to a video, or through Kinect reconstruction using recent faceshift technology is presented.
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Content-aware compression using saliency-driven image retargeting

TL;DR: A novel method to compress video content based on image retargeting that introduces a non-uniform antialiasing technique that significantly improves the image resampling quality and achieves a significant improvement of the visual quality of salient image regions.
Proceedings ArticleDOI

Computer-assisted authoring of interactive narratives

TL;DR: This paper presents a new design formalism, Interactive Behavior Trees (IBT's), which decouples the monitoring of user input, the narrative, and how the user may influence the story outcome, and introduces automation tools for IBT's.