User-created marker based on character recognition for intuitive augmented reality interacion

Han, Seiheui; Rhee, Eun Joo; Choi, Junyeong; Park, Jong-Il

doi:10.1145/2087756.2087839

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…Artificial markers are printed and attached to the locations [1]. Some examples of artificial markers are dot-based markers [61], QR code markers [62] [63], circular markers [64], square markers [65], and alphabetic combination markers [65]. Due to fiducial marker use in the environment, and the fact that these markers are distinguishable in the environment (physical world), the marker-based tracking approach is very robust with high accuracy [66][67][68].…”

Section: Conflicts Of Interestmentioning

confidence: 99%

Development and Assessment of a Sensor-Based Orientation and Positioning Approach for Decreasing Variation in Camera Viewpoints and Image Transformations at Construction Sites

Sabzevar

Gheisari

2020

Applied Sciences

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Image matching techniques offer valuable opportunities for the construction industry. Image matching, a fundamental process in computer vision, is required for different purposes such as object and scene recognition, video data mining, reconstruction of three-dimensional (3D) objects, etc. During the image matching process, two images that are randomly (i.e., from different position and orientation) captured from a scene are compared using image matching algorithms in order to identify their similarity. However, this process is very complex and error prone, because pictures that are randomly captured from a scene vary in viewpoints. Therefore, some main features in images such as position, orientation, and scale of objects are transformed. Sometimes, these image matching algorithms cannot correctly identify the similarity between these images. Logically, if these features remain unchanged during the picture capturing process, then image transformations are reduced, similarity increases, and consequently, the chances of algorithms successfully conducting the image matching process increase. One way to improve these chances is to hold the camera at a fixed viewpoint. However, in messy, dusty, and temporary locations such as construction sites, holding the camera at a fixed viewpoint is not always feasible. Is there any way to repeat and retrieve the camera’s viewpoints during different captures at locations such as construction sites? This study developed and evaluated an orientation and positioning approach that decreased the variation in camera viewpoints and image transformation on construction sites. The results showed that images captured while using this approach had less image transformation in contrast to images not captured using this approach.

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Section: Conflicts Of Interestmentioning

confidence: 99%

Development and Assessment of a Sensor-Based Orientation and Positioning Approach for Decreasing Variation in Camera Viewpoints and Image Transformations at Construction Sites

Sabzevar

Gheisari

2020

Applied Sciences

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TARES: A Game-Based Tangible Augmented Reality English Spelling Mastery System With Minimal Cognitive Load

Akoth Ongoro,

FanJiang,

Hung

et al. 2024

IEEE Access

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Over an extended period, spelling lessons have consistently played a crucial role in language acquisition, commonly integrated into educational settings to enhance learners' spelling proficiency. Traditional classroom environments often require learners to spell and write words, leading those facing persistent difficulties to experience anxiety and social disconnection. This challenge is particularly notable in preschool settings where a more interactive approach to spelling sessions could benefit children with difficulties. This research develops a screenless language learning system for spelling acquisition, with a specific focus on minimizing digital screen exposure for preschoolers. The proposed virtual augmented interface connects with tangible elements and game features. The tangible interface becomes the primary tool for learning, and the system achieves complete accuracy without necessitating learners to hold additional digital devices. The proposed system integrates augmented reality, tangible user interfaces, and serious game-based learning. Utilizing 3D Unity and Vuforia technology, augmented reality and serious game components are employed to create spelling content. The study highlights the importance of tangible letters and objects in conjunction with real-world items to facilitate cooperative and collaborative learning, encouraging social interaction among learners. The proposed learning content levels are adjusted to the age of learners (4-6 years) for alleviating cognitive overload. For gamification, the system incorporates three difficulty levels tailored to three, four, and five-letter words. This structured approach systematically enhances spelling skills while simultaneously addressing the challenge of excessive screen device exposure.

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A multi-target recognition algorithm for 6-DOF tracking

Wei

Xiao

Huang

et al. 2016

2016 International Conference on Progress in Informatics and Computing (PIC)

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User-created marker based on character recognition for intuitive augmented reality interacion

Cited by 3 publications

References 2 publications

Development and Assessment of a Sensor-Based Orientation and Positioning Approach for Decreasing Variation in Camera Viewpoints and Image Transformations at Construction Sites

Development and Assessment of a Sensor-Based Orientation and Positioning Approach for Decreasing Variation in Camera Viewpoints and Image Transformations at Construction Sites

TARES: A Game-Based Tangible Augmented Reality English Spelling Mastery System With Minimal Cognitive Load

A multi-target recognition algorithm for 6-DOF tracking

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