Parametric Registration for Mobile Phone Images

Zhang, Xinxin; Gilliam, Christopher; Blu, Thierry

doi:10.1109/icip.2019.8803769

Cited by 2 publications

(1 citation statement)

References 36 publications

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“…Some photos have provided the Exif data, which records the FoV. However, the others need an estimate to obtain the parameters of photos (Zhang et al 2019). We investigate the FoV of smartphone cameras, and determined that the standard field of view angle of the camera is 45 degrees.…”

Section: Geometric Relationship Between Perspective Centre and Buildimentioning

confidence: 99%

Estimating Heights of Buildings From Geotagged Photos for Data Enrichment on Openstreetmap

Wang

Fan

Jiao

2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. To reconstruct 3D building models, building footprints and heights are essential information. From OpenStreetMap (OSM), we can easily obtain footprints. However, building height is usually missing. In order to yield the height information of building in OSM, this paper proposes a geometric method to estimate building height from geotagged photographs. This method explores the geometric relationship between the perspective centre of geotagged photos and buildings. Through matching photos and OSM, building height can be estimated according to the ratio of height to width of building. The proposed method can be divided into three parts. First, automatic geometric correction of photos is realized by using vanishing point tracking. After that, a semi-automatic scene search method is proposed to match the geotagged photograph and OSM. In this step, geographic coordinates of photos are used to locate a photographic scene. According to the edge of the building in the photos, corresponding footprints in OSM can be found. Finally, based on the length of the associated edge in the building footprint in OSM, the height of building can be calculated. Using Flickr photos and OSM in London, we experiment with the proposed method. The robustness of the geometric model has been verified. Experiments show that the proposed method is pertinent as the estimated height has expressed a proper ratio with its width, which is the same as the corrected photos. In particular for automatic geometric correction, which can achieve the same good results as the correction of manual operation.

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Section: Geometric Relationship Between Perspective Centre and Buildimentioning

confidence: 99%

Estimating Heights of Buildings From Geotagged Photos for Data Enrichment on Openstreetmap

Wang

Fan

Jiao

2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Dark channel enhancement research on human ear images based on smartphone photography

Lu,

Zheng,

Kou

et al. 2024

Concurrency and Computation

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SummaryThe experienced doctors can alleviate symptoms such as headaches, insomnia, anxiety, and depression by observing the patient's ears and massaging specific areas. In order to achieve remote ear condition diagnosis and guide patients to massage their ears independently through the network, patients can use their mobile phones to take and send photos of ears to doctors. However, due to significant differences in the clarity of photos taken by different mobile phones, as well as susceptibility to haze, lighting, jitter, and low pixels, the quality of photos is poor, which affects the accuracy of remote diagnosis by doctors. This study adopted an image preprocessing method based on He Kaiming's dark channel prior dehazing method to enhance the original ear images captured by mobile phones. The dehazing algorithm was used to remove the haze effect of the ear images, improving image quality and contrast, making the wrinkles, protrusions, pigmentation and other areas of the ear more obvious. The experiment has showed the comparison by adjusting weight from 15% to 95% between two methods—dark channel prior method and the dark channel prior method after preprocessing, which has proven the effectiveness of dehazing method in human ear images taken by mobile phones. The image quality after preprocessing and dehazing is widely recognized and accepted by doctors at hospitals in Hangzhou, China.

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Parametric Registration for Mobile Phone Images

Cited by 2 publications

References 36 publications

Estimating Heights of Buildings From Geotagged Photos for Data Enrichment on Openstreetmap

Estimating Heights of Buildings From Geotagged Photos for Data Enrichment on Openstreetmap

Dark channel enhancement research on human ear images based on smartphone photography

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