On the neural computation of the scale factor in perspective transformation camera model

Do, Yongtae

doi:10.1109/icca.2013.6565144

Cited by 8 publications

(5 citation statements)

References 16 publications

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“…Perspective transformation is widely used in 3D image processing. In 2013, Do proposed a method to apply perspective transformation to process image scaling [ 18 ]. A skewed image in a 3D space can be converted to a new image plane through mapping.…”

Section: Methodsmentioning

confidence: 99%

Development of a Cloud-Based Image Processing Health Checkup System for Multi-Item Urine Analysis

Wu,

Wang,

Weng

et al. 2023

Sensors

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With the busy pace of modern life, an increasing number of people are afflicted by lifestyle diseases. Going directly to the hospital for medical checks is not only time-consuming but also costly. Fortunately, the emergence of rapid tests has alleviated this burden. Accurately interpreting test results is extremely important; misinterpreting the results of rapid tests could lead to delayed medical treatment. Given that URS-10 serve as a rapid test capable of detecting 10 distinct parameters in urine samples, the results of assessing these parameters can offer insights into the subject’s physiological condition. These parameters encompass aspects such as metabolism, renal function, diabetes, urinary tract disorders, hemolytic diseases, and acid–base balance, among others. Although the operational procedure is straightforward, the variegated color changes exhibited in the outcomes of individual parameters render it challenging for lay users to deduce causal factors solely from color variations. Moreover, potential misinterpretations could arise due to visual discrepancies. In this study, we successfully developed a cloud-based health checkup system that can be used in an indoor environment. The system is used by placing a URS-10 test strip on a colorimetric board developed for this study, then using a smartphone application to take images which are uploaded to a server for cloud computing. Finally, the interpretation results are stored in the cloud and sent back to the smartphone to be checked by the user. Furthermore, to confirm whether the color calibration technology can eliminate color differences between different cameras, and also whether the colorimetric board and the urine test strips can perform color comparisons correctly in different light intensity environments, indoor environments that could simulate a specific light intensity were established for testing purposes. When comparing the experimental results to real test strips, only two groups failed to reach an identification success rate of 100%, and in both of these cases the success rate reached 95%. The experimental results confirmed that the system developed in this study was able to eliminate color differences between camera devices and could be used without special technical requirements or training.

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Section: Methodsmentioning

confidence: 99%

Development of a Cloud-Based Image Processing Health Checkup System for Multi-Item Urine Analysis

Wu,

Wang,

Weng

et al. 2023

Sensors

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“…Figure demonstrates this with agents in blue positioned at different locations in the scene. These values can be adjusted manually or calculated automatically using the methods provided in the work of Do . In Figure , it can also be seen that the imported floor plan is colored according to each cell's defined values; green means the areas the agents can walk, blue defines the entrance exit points, and red represents obstructions that will obscure the agents when they are located behind.…”

Section: Methodsmentioning

confidence: 99%

“…These values can be adjusted manually or calculated automatically using the methods provided in the work of Do. 52 In Figure 7, it can also be seen that the imported floor plan is colored according to each cell's defined values; green means the areas the agents can walk, blue defines the entrance exit points, and red represents obstructions that will obscure the agents when they are located behind. To control the agents in the scene, position and orientation information is required for each frame.…”

Section: Composition and Visualizationmentioning

confidence: 99%

A human and group behavior simulation evaluation framework utilizing composition and video analysis

Dupre

Argyriou

2018

Computer Animation & Virtual

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In this work, we present the modular crowd simulation evaluation through composition framework, which provides a quantitative comparison between different pedestrian and crowd simulation approaches. Evaluation is made based on the comparison of source footage against synthetic video created through novel composition techniques. The proposed framework seeks to reduce the complexity of simulation evaluation and provide a platform from which the comparison of differing simulation algorithms and parametric tuning can be conducted to improve simulation accuracy or provide measures of similarity between crowd simulation algorithms and source data. Through the use of features designed to mimic the human visual system, specific simulation properties can be evaluated relative to sample footage. Validation was performed on a number of popular crowd data sets and through comparisons of multiple pedestrian and crowd simulation algorithms.

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“…The 3D agents in the scene must also be scaled correctly to ensure their sizing is appropriate to the scene (Figure 18), this can be done manually or calculated automatically using the methods provided in Ref. [35].…”

Section: Simulation Evaluationmentioning

confidence: 99%

Risk Estimation in Robotics and the Impact of Human Behaviour

Dupre¹,

Argyriou²

2017

Robotics - Legal, Ethical and Socioeconomic Impacts

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Within this chapter the emerging topic of automated risk assessment in a domestic scene is discussed, state of the art techniques are reviewed followed by developed methodologies which focus on safer human and robotic interactions with an environment. By using the risk estimation framework, the notion of a quantitative risk score is presented. Hazards within a scene are evaluated and measured using risk elements which provide a numeric representation of specific types of risk. Emphasis is given to the concept of risk as a result of interaction with an environment, specifically whether human or robotic actions in a scene can effect overall risk. To this end, techniques which simulate human or robotic behaviour with regard to risk in an environment are reviewed. Specifically the ideas of interaction and visibility are addressed defining risk in terms of areas within a scene that are visited most often and which are least visible. As with any behaviour simulation techniques, validation of their accuracy is required and a number of simulation evaluation techniques are reviewed. Finally a conclusion as to the current state of automated risk assessment is given, with a brief look at the future of the research area.

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On the neural computation of the scale factor in perspective transformation camera model

Cited by 8 publications

References 16 publications

Development of a Cloud-Based Image Processing Health Checkup System for Multi-Item Urine Analysis

Development of a Cloud-Based Image Processing Health Checkup System for Multi-Item Urine Analysis

A human and group behavior simulation evaluation framework utilizing composition and video analysis

Risk Estimation in Robotics and the Impact of Human Behaviour

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