Measurement of Size and Distance of Objects Using Mobile Devices

Laotrakunchai, Suraphol; Wongkaew, Akarapas; Patanukhom, Karn

doi:10.1109/sitis.2013.36

Cited by 13 publications

(7 citation statements)

References 8 publications

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“…Furthermore, we will add optical character recognition (OCR) to extract text in advertisement billboard automatically [23]. Moreover, we will use estimation algorithm to measure the distance and size of the advertisement billboard to improve the accuracy of geotagging process [24,25].…”

Section: Testing Resultsmentioning

confidence: 99%

Advertisement billboard detection and geotagging system with inductive transfer learning in deep convolutional neural network

et al. 2019

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In this paper, we propose an approach to detect and geotag advertisement billboard in real-time condition. Our approach is using AlexNet's Deep Convolutional Neural Network (DCNN) as a pre-trained neural network with 1000 categories for image classification. To improve the performance of the pre-trained neural network, we retrain the network by adding more advertisement billboard images using inductive transfer learning approach. Then, we fine-tuned the output layer into advertisement billboard related categories. Furthermore, the detected advertisement billboard images will be geotagged by inserting Exif metadata into the image file. Experimental results show that the approach achieves 92.7% training accuracy for advertisement billboard detection, while for overall testing results it will give 71.86% testing accuracy.

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Section: Testing Resultsmentioning

confidence: 99%

Advertisement billboard detection and geotagging system with inductive transfer learning in deep convolutional neural network

et al. 2019

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“…The distance between the device and the patient skin is measured by following the method proposed in [26]. In particular, this method uses the object disparity, dragging distance, and device orientation to determine the distance between the patient skin and the device.…”

Section: Continuous Trackingmentioning

confidence: 99%

“…Acceleration signals during the dragging period are analyzed to compute the dragging distance. See [26] for further details. The application produces a red circle around the nevus when the distance is not appropriate.…”

Section: Continuous Trackingmentioning

confidence: 99%

A mobile augmented reality application for supporting real-time skin lesion analysis based on deep learning

Francese

Frasca

Risi

et al. 2021

J Real-Time Image Proc

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Melanoma is considered the deadliest skin cancer and when it is in an advanced state it is difficult to treat. Diagnoses are visually performed by dermatologists, by naked-eye observation. This paper proposes an augmented reality smartphone application for supporting the dermatologist in the real-time analysis of a skin lesion. The app augments the camera view with information related to the lesion features generally measured by the dermatologist for formulating the diagnosis. The lesion is also classified by a deep learning approach for identifying melanoma. The real-time process adopted for generating the augmented content is described. The real-time performances are also evaluated and a user study is also conducted. Results revealed that the real-time process may be entirely executed on the Smartphone and that the support provided is well judged by the target users.

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“…However, most of their methods used are either auxiliary or inefficient. One of them is the measurement of object distance to camera and object dimension using accelerometer on a smartphone by shifting the smartphone according to the length and width of the object to find the object size and to shift from the starting point of the smartphone towards the object to calculate the distance [4]. Also, there is research where the calculation of distance and object size is calculated using the stereo vision image capture, and the distance of an object's size is measured by comparing the width and height of objects obtained from two images from two different cameras [5].…”

Section: Introductionmentioning

confidence: 99%

Android-based automatic detection and measurement system of highway billboard for tax calculation in indonesia

Rahmat

Purnamawati

Saito

et al. 2019

IJEECS

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<span>Billboards are objects, tools or actions, which based on the characteristics serve its own purpose to earn profits, advertise certain people or service, and to draw public’s attention by placing it in a very strategic place. It has led the government to charge tax on billboards based on its location, dimensions, and viewpoints. Therefore, authorized parties have to be able to ensure the data authenticity of the proposed billboards. One of the obstacles in data verification is the time of billboards measurement process due to its size and height from the ground, based on this problem, and we developed a system which can measure the dimensions of billboards without physically touching it by implementing image processing methods to identify the billboards. The implementation is by measuring the dimensions of the billboards using perspective concept, then calculates the distance between the camera and the object using two-point distance calculation GPS coordinates. The results showed that the distance calculation using the GPS method generated inaccurate values, whereas the systematic distance method generated a result of errors’ range from 0.5 to 25 cm if the image acquisition is performed nearly perpendicular to the object.</span>

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Measurement of Size and Distance of Objects Using Mobile Devices

Cited by 13 publications

References 8 publications

Advertisement billboard detection and geotagging system with inductive transfer learning in deep convolutional neural network

Advertisement billboard detection and geotagging system with inductive transfer learning in deep convolutional neural network

A mobile augmented reality application for supporting real-time skin lesion analysis based on deep learning

Android-based automatic detection and measurement system of highway billboard for tax calculation in indonesia

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