Single-Image Distance Measurement by a Smart Mobile Device

Chen, Shangwen; Fang, Xianyong; Shen, Jianbing; Wang, Linbo; Shao, Ling

doi:10.1109/tcyb.2016.2611599

Cited by 13 publications

(4 citation statements)

References 23 publications

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“…The method has also been adopted in robot navigation for the extraction of vertical lines of an indoor environment to make the robot able to navigate autonomously [11, 12]. Some recent studies have focused on utilising smart mobile devices which are embedded with cameras and sensors for distance measurement [13, 14]. There are also some other approaches proposed in the literature but they are not included in this work because they have the inadequate capacity and have lower metric accuracy levels.…”

Section: Introductionmentioning

confidence: 99%

Accuracy assessment of single viewing techniques for metric measurements on single images

Arslan

2018

IET Computer Vision

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Single view methodology has been a long-standing issue of extracting metric information from a single image in the relevant disciplines. To perform metric measurements on a single image, two methods, which are based on identifying vanishing points (VPs), were employed in the study. One of the two methods is based on the cross ratio and VPs computation and the other integrates robust statistical estimators and close range techniques in a multidisciplinary concept. The estimation of object distance from a single image taken in an outdoor environment was the main concern for a practical application in the study. As the main concern of the study, accuracy analysis of distance measurements was performed to compare the performance of two techniques and experimental results are presented.

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Section: Introductionmentioning

confidence: 99%

Accuracy assessment of single viewing techniques for metric measurements on single images

Arslan

2018

IET Computer Vision

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“…The validity of our formulation is established by the accuracy with which we determine the refractive index of water. Smartphone camera has been used in a few other works for optics experiments [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

An accurate determination of the refractive indices of water and glass by smartphone photography

Chakrabarti¹,

Pal²,

Soumen³

2023

Phys. Educ.

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A smartphone can be used for many physics experiments by using the sensors built into the phone. The complementary metal oxide semiconductor (CMOS) (charge-coupled device, CCD) sensor of the camera records the images of objects photographed in pixels. The width of the image can be read off with micron level accuracy with the help of software available freely from the internet. If the dimensions of the object in the direction transverse to the viewing direction of the camera are known, the magnification of the object photographed can be determined accurately. A smartphone camera is a compound lens comprising a number of very thin lenses. A single thin lens is equivalent, as far as the transverse magnification is concerned, to a compound lens of the smartphone, when the thin lens has the same focal length as the effective focal length of the compound lens and is placed at its first principal plane. This property allows us to find experimentally the effective focal length of the compound lens of the camera accurately, using the thin lens equation. Once the focal length of the camera is known, the distance of an object can be determined by finding its magnification from the photograph. We have determined the refractive index of water accurately by photographing the apparent position of an object immersed in it. By determining the magnifications, we have found the real and apparent depths of the object. The ratio of these depths gives the refractive index. We have determined the refractive index of glass also using some thin glass slides.

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“…These applications are developed by utilizing the advancement of smartphone technology such as global positioning systems (GPS) and digital cameras. For example, the accelerometer sensor of a smartphone can be used to obtain the view direction and the orientation of the smartphone using an oriented single-image-based approach for distance measurement as Shangwen Chen et al [1]. While other studies are using object detection of artificial intelligence (AI) technology to measure the distance to an object as Jae Moon Lee et al [2].…”

Section: Introductionmentioning

confidence: 99%

Smartphone Distance Measurement Application Using Image Processing Methods

Jasmari¹

2022

IOP Conf. Ser.: Earth Environ. Sci.

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This study introduces a new method to measure the distance of an object from an observer location using image processing methods by utilizing smartphone camera technology. This study involved the development of an application for distance measurement where users can measure the distance of an object using their smartphone. For this study, the basic image processing method was used to determine the proportional width of the object marker which then be used to derive the distance to the object. The application has been successfully developed where the distance from the smartphone to the object marker can be obtained with an accuracy of +/-0.05 meters for distances of less than 3 meters. However, further research needs to be conducted to enhance the application modules for better distance measurement accuracy. This study indicated that the development of smartphone applications using image processing methods has great potential to be applied in various distance measurement applications in the near future, especially in data collection activities for the production of small-scale topographic maps or for land surveying applications.

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Single-Image Distance Measurement by a Smart Mobile Device

Cited by 13 publications

References 23 publications

Accuracy assessment of single viewing techniques for metric measurements on single images

Accuracy assessment of single viewing techniques for metric measurements on single images

An accurate determination of the refractive indices of water and glass by smartphone photography

Smartphone Distance Measurement Application Using Image Processing Methods

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