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Android solution developerDec 2010
Creating android, and iPhone application.
bachelor2008 - 2011 (3 years)
master2011 - 2013 (2 years)
Laureat (2012)Student scientific seminar
The publication called Recognition of visual marks on mobile phone were voted as the best publication in computer vision section.
Recognition of visual marks on mobile phone
In our paper we propose an application for the visual marks recognition on smartphones. We present several recognition methods implementing local feature descriptors and detectors, which are used in computer vision. We evaluate them for purpose of our application.
Concept of Portable Gallery Guide
In the last fifteen years researchers in the augmented reality field developed different cultural heritage promoting applications. Amongst them museum guides became very popular and different kinds of these systems were published. These systems usually focus on creating a museum guide for one particular museum, gallery or exhibition. In our paper we want to compare the existing museum guide methods and propose a new concept based on our conclusions. Our goal is to create a concept of portable Museu
Scarlet - Real Time Mobile Augmented Reality Library
Since the beginning of the new century, the augmented reality (AR) applications became very popular among the smart phone users. There has also been an emerging trend of users wanting to be the creators of the visual content. In this paper, we present Scarlet - a novel library for the Android developers of the AR applications. The key problem of the AR is the registration of a virtual and the real world. Scarlet can recognize different visual markers (images, logos, black-and-white markers) very fas