Technology

Features / Technology / Highlights

Kapanu Virtual Mirror Engine

We developed advanced technologies to make your dream products come true!

Real-time image processing

Kapanu is the world’s first and to date only company offering real-time dental Augmented Reality visualizations. This requires a fully automated processing using deep learning technology. Our solution runs across platforms on PCs and even on mobile devices!

Realistic Rendering

Applying the latest rendering technology from the movie industry and computer games, our dental 3D models look highly realistic.

Shape editing with a simple stroke

Modification and definition of the incisal line and the gum line are easily done with a finger or pen stroke, allowing extremely fast geometric modifications.

3D dental models

We use dental 3D models which are projected onto a 2D image of the face with the correct point of view. This allows the full potential of dental 3D models while keeping the facial image realistic.

CAD Link

Export the dental 3D models from AR to CAD systems and import from scanners or CAD systems.

Research publications

Latest developments in augmented reality technology and their integration into the digital workflow

International Journal of Computerized Dentistry, (16.12.2020), pages: 397-408

Laurent Marchand, Romane Touati, Vincent Fehmer, Maxime Ducret, Irena Sailer

The use of 'extended reality' (augmented reality) in esthetic treatment planning

International Journal of Computerized Dentistry, No. 2 (24.06.2020), pages 149-160

Dynamische Echtzeitvisualisierung in der Diagnostik mittels Augmented Reality

Implantologie 27, No. 2 (12.07.2019), pages 133-142

Comparison of Two Innovative Strategies Using Augmented Reality for Communication in Aesthetic Dentistry: A Pilot Study
Journal of Healthcare Engineering. 2019, vol. 2019, p. 7019046
Romane Touati, Raphael Richert,
Catherine Millet,
Jean-Christophe Farges, Irena Sailer, Maxime Ducret
 
Mobile Augmented Reality for Dentistry: Virtual Try-On in Live 3D (Demo)

Live demo and poster at the European Conference on Computer Vision (ECCV 2016), Amsterdam, the Netherlands

Gábor Sörös, Marcel Lancelle, Nicolas Degen, Roland Mörzinger
 

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