Measuring magnitude of change by high-rise buildings in visual amenity conflicts in Brisbane

Tara, Ata; Lawson, Gillian; Renata, A Monteiro

doi:10.1016/j.landurbplan.2020.103930

Cited by 24 publications

(16 citation statements)

References 32 publications

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“…To prevent appreciable extrapolation errors and ensure the stable performance of HMGT, the calibration area should be determined by human's field of view. In particular, for the horizontal field of view of a human, symbol recognition and 3D perception happen within 60 • of the central field of view, and for the vertical field of view of human, the optimum eye rotation degrees range from −30 • ∼ 25 • [26]. Thus, the vector of visual axis is determined by eyeball horizontal rotation angle α, and vertical rotation angle β, where α ∈ −30 • ∼ 30 • , β ∈ −30 • ∼ 25 • .…”

Section: Sampling and Denoising Of Calibration Points 251 Sampling St...mentioning

confidence: 99%

High-Accuracy 3D Gaze Estimation with Efficient Recalibration for Head-Mounted Gaze Tracking Systems

Xia

Liang

et al. 2022

Sensors

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The problem of 3D gaze estimation can be viewed as inferring the visual axes from eye images. It remains a challenge especially for the head-mounted gaze tracker (HMGT) with a simple camera setup due to the complexity of the human visual system. Although the mainstream regression-based methods could establish the mapping relationship between eye image features and the gaze point to calculate the visual axes, it may lead to inadequate fitting performance and appreciable extrapolation errors. Moreover, regression-based methods suffer from a degraded user experience because of the increased burden in recalibration procedures when slippage occurs between HMGT and head. To address these issues, a high-accuracy 3D gaze estimation method along with an efficient recalibration approach is proposed with head pose tracking in this paper. The two key parameters, eyeball center and camera optical center, are estimated in head frame with geometry-based method, so that a mapping relationship between two direction features is proposed to calculate the direction of the visual axis. As the direction features are formulated with the accurately estimated parameters, the complexity of mapping relationship could be reduced and a better fitting performance can be achieved. To prevent the noticeable extrapolation errors, direction features with uniform angular intervals for fitting the mapping are retrieved over human’s field of view. Additionally, an efficient single-point recalibration method is proposed with an updated eyeball coordinate system, which reduces the burden of calibration procedures significantly. Our experiment results show that the calibration and recalibration methods could improve the gaze estimation accuracy by 35 percent (from a mean error of 2.00 degrees to 1.31 degrees) and 30 percent (from a mean error of 2.00 degrees to 1.41 degrees), respectively, compared with the state-of-the-art methods.

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Section: Sampling and Denoising Of Calibration Points 251 Sampling St...mentioning

confidence: 99%

High-Accuracy 3D Gaze Estimation with Efficient Recalibration for Head-Mounted Gaze Tracking Systems

Xia

Liang

et al. 2022

Sensors

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“…The measure of visible volume is successfully used in the 3D study of visual change and quantification of the visual impact of proposed building development so far. However, the above 3D-GIS approaches are based on the skyline, specifically the skyline barrier analysis [38,39]. The skyline barrier analysis is subject to specific technical limitations, and it is not intended to analyze the visual impact of objects lower than the surrounding buildings.…”

Section: The Advantages and Limitations Of 3d-gis Visibility In Landscape Studiesmentioning

confidence: 99%

“…The aforementioned skyline barrier limitations [39] have been overcome with voxels and 3D Isovist analysis in this study. Furthermore, the "viewsphere" concept is not emphasized here in favor of the term "view volume" and 3D bounding box as a consequence of using voxels (Figure 1).…”

Section: The View Volume Conceptmentioning

confidence: 99%

Towards Managing Visual Pollution: A 3D Isovist and Voxel Approach to Advertisement Billboard Visual Impact Assessment

Chmielewski

2021

IJGI

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Visual pollution (VP) is a visual landscape quality issue, and its most consistently recognized symptom is an excess of out of home advertising billboards (OOHb). However, the VP related research concerns landscape aesthetic and advertisement cultural context, leaving the impact of outdoor billboard infrastructure on landscape openness unanswered to date. This research aims to assess the visual impact of outdoor billboard infrastructure on landscape openness, precisely the visual volume—a key geometrical quality of a landscape. The method uses 3D isovists and voxels to calculate the visible and obstructed subsets of visible volume. Using two case studies (Lublin City, Poland) and 26 measurement points, it was found that OOHb decreased landscape openness by at least 4% of visible volume; however, the severe impact may concern up to 35% of visual volume. GIS scientists develop the proposed method for policy-makers, and urban planners end users. It is also the very first example of compiling 3D isovists and voxels in ArcGIS Pro software in an easy-to-replicate framework. The research results, accompanied by statistically significant proofs, explain the visual landscape’s fragility and contribute to understanding the VP phenomenon.

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“…A person's full visual field (without head motion) is approximately 190 and 125 degrees horizontally and vertically (50 degrees up, 75 degrees down) [29], shown as black lines. However, the effective visual field is much narrower and changes depending on the tasks; it becomes 60 degrees (horizontal) and 55 degrees (vertical) for correct symbol recognition and 3D depth perceptions [71]. Considering the eye's maximum movement range (reported to be 50 degrees [64]), one can immediately view 100-degree horizontal and vertical viewing areas with both eyes, depicted as the green dotted lines.…”

Section: Module Device Arrangement Adapting Human Visual Fieldmentioning

confidence: 99%

ModularHMD: A Reconfigurable Mobile Head-Mounted Display Enabling Ad-hoc Peripheral Interactions with the Real World

Endo

Takashima

Inoue

et al. 2021

The 34th Annual ACM Symposium on User Interface Software and Technology

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Measuring magnitude of change by high-rise buildings in visual amenity conflicts in Brisbane

Cited by 24 publications

References 32 publications

High-Accuracy 3D Gaze Estimation with Efficient Recalibration for Head-Mounted Gaze Tracking Systems

High-Accuracy 3D Gaze Estimation with Efficient Recalibration for Head-Mounted Gaze Tracking Systems

Towards Managing Visual Pollution: A 3D Isovist and Voxel Approach to Advertisement Billboard Visual Impact Assessment

ModularHMD: A Reconfigurable Mobile Head-Mounted Display Enabling Ad-hoc Peripheral Interactions with the Real World

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