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An Architecture for Mobile Outdoors Augmented Reality for Cultural Heritage
Open AccessArticle

CATCHA: Real-Time Camera Tracking Method for Augmented Reality Applications in Cultural Heritage Interiors

Faculty of Mechatronics, Warsaw University of Technology, ul. św. Andrzeja Boboli 8, 02-525 Warszawa, Poland
Museum of King Jan III’s Palace, ul. Stanisława Kostki Potockiego 10/16, 02-958 Warszawa, Poland
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2018, 7(12), 479;
Received: 6 November 2018 / Revised: 30 November 2018 / Accepted: 13 December 2018 / Published: 15 December 2018
(This article belongs to the Special Issue Data Acquisition and Processing in Cultural Heritage)
Camera pose tracking is a fundamental task in Augmented Reality (AR) applications. In this paper, we present CATCHA, a method to achieve camera pose tracking in cultural heritage interiors with rigorous conservatory policies. Our solution is real-time model-based camera tracking according to textured point cloud, regardless of its registration technique. We achieve this solution using orthographic model rendering that allows us to achieve real-time performance, regardless of point cloud density. Our developed algorithm is used to create a novel tool to help both cultural heritage restorers and individual visitors visually compare the actual state of a culture heritage location with its previously scanned state from the same point of view in real time. The provided application can directly achieve a frame rate of over 15 Hz on VGA frames on a mobile device and over 40 Hz using remote processing. The performance of our approach is evaluated using a model of the King’s Chinese Cabinet (Museum of King Jan III’s Palace at Wilanów, Warsaw, Poland) that was scanned in 2009 using the structured light technique and renovated and scanned again in 2015. Additional tests are performed on a model of the Al Fresco Cabinet in the same museum, scanned using a time-of-flight laser scanner. View Full-Text
Keywords: CATCHA; camera tracking; cultural heritage; real-time; point clouds CATCHA; camera tracking; cultural heritage; real-time; point clouds
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MDPI and ACS Style

Siekański, P.; Michoński, J.; Bunsch, E.; Sitnik, R. CATCHA: Real-Time Camera Tracking Method for Augmented Reality Applications in Cultural Heritage Interiors. ISPRS Int. J. Geo-Inf. 2018, 7, 479.

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