A case study: Mobile augmented reality system for visualization of large buildings

Rößler, Thomas; Rogge, Stephan; Hentschel, Christian

doi:10.1109/icce-berlin.2011.6031827

Cited by 3 publications

(2 citation statements)

References 3 publications

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“…AR that overlays interactively computer-generated information onto real world employs an optical system such as camera and a display device [1]. For mobile AR experience, many techniques in electronics engineering and computer science including tracking and registration, wearable input and interaction technology, and wireless networking are needed [2][3][4][5]. In registration process that aligns the virtual elements with the physical objects, previous studies dealt with the possibilities to make the augmented world as realistic as possible [6][7][8][9][10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Estimating Illumination Distribution to Generate Realistic Shadows in Augmented Reality

Eem

Kim²,

Jung³

et al. 2015

KSII TIIS

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Mobile devices are becoming powerful enough to realize augmented reality (AR) application. This paper introduces two AR methods to estimate an environmental illumination distribution of a scene. In the first method, we extract the lighting direction and intensity from input images captured with a front-side camera of a mobile device, using its orientation sensor. The second method extracts shadow regions cast by three dimensional (3D) AR marker of known shape and size. Because previous methods examine per pixel shadow intensity, their performances are much affected by the number of sampling points, positions, and threshold values. By using a simple binary operation between the previously clustered shadow regions and the threshold real shadow regions, we can compute efficiently their relative area proportions according to threshold values. This area-based method can overcome point sampling problem and threshold value selection. Experiment results demonstrate that the proposed methods generate natural image with multiple smooth shadows in real-time.

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Section: Introductionmentioning

confidence: 99%

Estimating Illumination Distribution to Generate Realistic Shadows in Augmented Reality

Eem

Kim²,

Jung³

et al. 2015

KSII TIIS

View full text Add to dashboard Cite

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“…It has been identified that tracking is one of the most important aspects of AR applications [18]. When presented with multiple options, users tend to avoid AR visualisations, and visual jitter has been identified as one possible reason for this [24].…”

Section: Introductionmentioning

confidence: 99%

Hybrid Tracking using Gravity Aligned Edges

Williams

Green

Billinghurst

2013

Proceedings of the 14th Annual ACM SIGCHI_NZ Conference on Computer-Human Interaction

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We have developed a hybrid tracking algorithm for mobile outdoor augmented reality (AR) applications. Our approach combines inertial sensors and camera video to improve global bearing calculations. Prior research in this area has focused on gravity aware feature descriptors, but we expand this to efficient full-frame vertical edge detection. We discuss our implementation and evaluate it's performance on an iPhone 5, which reveals that our approach is over 100 times faster than existing feature alignment algorithms and can improve tracking with only 2-4ms of additional processing per frame on current generation mobile phones.

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Virtual model Of A 5-Storey Educational Institution For The Orientation Of The Construction Process Using Augmented Reality

Sierra Ccorahua,

Huertas Cansino,

Aycaya Mamani

et al. 2024

2024 the 8th International Conference on Virtual and Augmented Reality Simulations (ICVARS)

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A case study: Mobile augmented reality system for visualization of large buildings

Cited by 3 publications

References 3 publications

Estimating Illumination Distribution to Generate Realistic Shadows in Augmented Reality

Estimating Illumination Distribution to Generate Realistic Shadows in Augmented Reality

Hybrid Tracking using Gravity Aligned Edges

Virtual model Of A 5-Storey Educational Institution For The Orientation Of The Construction Process Using Augmented Reality

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