An Efficiency Analysis of Augmented Reality Marker Recognition Algorithm

Kurpytė, Dovilė; Navakauskas, Dalius

doi:10.2478/ecce-2014-0008

Cited by 4 publications

(4 citation statements)

References 15 publications

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“…One of the most frequently used approaches for image analysis in obtaining the necessary data are markers, providing Benchmarks and distinguishing internal marker elements according to which the objects can be identified and focused on [12].…”

Section: F Marker Qualitymentioning

confidence: 99%

Marker Quality Improvement in Augmented Reality Using Grey-scale Method

Dahliyusmanto

Omar

Anggara

et al. 2019

IJEEPSE

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Augmented Reality (AR) is a technology which combines the real world and virtual world, where users can feel the interaction between the two worlds. Marker Augmented reality or known as marker-based tracking technique uses a marker as media to display this technology. The marker is used as an object that contains images with unique patterns to identify each different object. Because it has a unique pattern, not any objects can be used as a marker. In Vuforia SDK, image recognition is done using a grayscale technique to search for angular features of the pixel image. If the image was taken directly using the camera in the old times in the form of Black and White (BNW), it has bad quality and most likely cannot be used as a marker because it has a few features. In BNW images taken directly from the camera, the Vuforia SDK detects only a few features in the image. This journal explains how the technique of making a BNW image into a marker can be detected by Augmented Reality Technology.

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Section: F Marker Qualitymentioning

confidence: 99%

Marker Quality Improvement in Augmented Reality Using Grey-scale Method

Dahliyusmanto

Omar

Anggara

et al. 2019

IJEEPSE

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“…Similarly [2], [11], [12], although they used an array of markers, interactions can also be seen as interactions with constant or linear complexity. This is because for an array of markers there is an array of responses.…”

Section: Figure 1 User-ar Interaction With Constant or Linear Complementioning

confidence: 99%

“…We seek to expand the complexity of this interaction by using markers string. Some other studies also use more than one marker in the form of a marker matrix [2], [11] or [12] but are not intended to build a word marker for the purpose collectively in which all word sets build an interaction language. Our study is also not intended to provide new functions [10], [13] and [14], new AR frameworks at the top level such as [15], [16] and [17], or offer a way of registering images at low levels of AR such as [18] or the introduction of a marker image [19].…”

Section: Generalized Finite State Automata For Markersmentioning

confidence: 99%

An Interaction Between User and an Augmented Reality System using A Generalized Finite State Automata and A Universal Turing Machine

Alwi*¹,

Azhari²,

Suprapto³

2019

IJITEE

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Most interactions between users and augmented reality system (ARS) are that user assigns a marker to ARS, and the ARS responds the marker. In this context, a marker is mapped to an ARS's response, or in general, an array of markers is mapped to an array of ARS's responses. This interaction is a constant or linear complexity interaction since there is only a bijective mapping between a set of markers and a set of ARS's responses. In this research, we propose the expansion of user - ARS complexity into the polynomial. It is an interaction in which not only one marker for a single response (or an array of markers for an array of ARS's responses), but the interaction by which user provides a string of markers as a word of markers (i.e., a combination of multiple markers as a word) for a single ARS's response. The set of strings of markers to the ARS provided by users built a regular language. So that, the complexity of the user-ARS interaction became polynomial. This interaction was implemented by stating the user's language by means of a generalization of finite state automata (gFSA) and placing a universal Turing machine (UTM) between user and ARS, where the UTM as an interpreter translating or mapping the user language to ARS. To summarize our research, overall we apply the idea of a formal language into the interaction between the user and ARS, thereby changing the complexity of the interaction to polynomial even expandable to nondeterministic polynomials.

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“…Adapun salah satu contoh dari penerapan teknologi itu adalah Augmented Reality. Augmented Reality adalah teknologi yang dapat menggabungkan objek 3D ke dalam lingkungan nyata [1]. Tidak seperti Virtual Reality yang sepenuhnya menggantikan kenyataan, namun Augmented Reality hanya menambahkan atau melengkapi kenyataan.…”

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Aplikasi Augmented Reality Pengenalan Barang Sejarah pada Istana Kadriah Kota Pontianak

Putri

Anra

Perwitasari

2019

justin

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Istana Kadriah saat ini dijadikan museum yang dibuka untuk umum. Penyampaian informasi tentang barang-barang peninggalan yang ada di Istana Kadriah masih dilakukan secara manual, yaitu pemandu wisata masih memberikan informasi secara lisan dikarenakan belum adanya informasi yang tertera pada setiap barang peninggalan yang ada. Kurangnya pemandu wisata pada saat pengunjung ramai membuat wisatawan kesulitan dalam mendapatkan informasi. Satu diantaranya wisatawan asing yang datang masih membawa kamus pribadi untuk mendapatkan informasi secara jelas, dan terdapat barang yang tidak dapat dilihat secara langsung dikarenakan terkunci didalam sebuah ruangan. Penelitian ini menghasilkan sebuah aplikasi yang mampu membantu wisatawan mendapatkan informasi melalui perangkat Android berdasarakan User Acceptance Test, dimana aplikasi mendapatkan nilai 1.427 yang berarti aplikasi berhasil dan aplikasi dapat berjalan pada smartphone Android dengan sistem operasi 4.4 (KitKat) hingga versi 8.0 (Oreo) berdasarkan pengujian kompatibilitas.

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An Efficiency Analysis of Augmented Reality Marker Recognition Algorithm

Cited by 4 publications

References 15 publications

Marker Quality Improvement in Augmented Reality Using Grey-scale Method

Marker Quality Improvement in Augmented Reality Using Grey-scale Method

An Interaction Between User and an Augmented Reality System using A Generalized Finite State Automata and A Universal Turing Machine

Aplikasi Augmented Reality Pengenalan Barang Sejarah pada Istana Kadriah Kota Pontianak

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