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Non-Ghosting Stitching for Street-View Image
2020 Cross Strait Radio Science & Wireless Technology Conference (CSRSWTC), 2020Parallax, relative camera motion, and illumination changes can cause artifacts in stitched images. For example, we might see ghosting effect on the pedestrian who is located at the overlapping region in a stitched image. Existing techniques struggle at dealing with the artifacts and perspective distortion.
Zhiquan Lin, Xiaoying Tang, Hongan Wei
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Street Space Quality Improvement: Fusion of Subjective Perception in Street View Image Generation
Chenbo Zhao +2 more
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Geo-localization of street views with aerial image databases
Proceedings of the 19th ACM international conference on Multimedia, 2011We study the feasibility of solving the challenging problem of geolocalizing ground level images in urban areas with respect to a database of images captured from the air such as satellite and oblique aerial images. We observe that comprehensive aerial image databases are widely available while complete coverage of urban areas from the ground is at ...
Mayank Bansal +3 more
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Google Street View and the Image as Experience
GeoHumanities, 2016Google Street View (GSV) presents the world as fact, mapped and documented, and reconstituted online: an approximation of the street condition. Google’s fleet takes the built environment as its territory, renders it photographically, and maps it spatially. GSV’s comprehensive coverage makes it useful for daily navigational needs, and its diverse mapped
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Google Street View: navigating the operative image
Visual Studies, 2014Via a close navigation of a Google Street View (GSV) scene in Oslo, this article investigates the role the photographic image plays in what has come to be known as ‘locative media’ – an entire range of image software that runs on mobile devices using GPS signals to locate the user, and that emerged after the United States government decided to end the ...
Ingrid Hoelzl, Rémi Marie
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Road Segmentation in Street View Images Using Texture Information
2016 13th Conference on Computer and Robot Vision (CRV), 2016Road segmentation is a problem encountered fairly frequently, especially in the framework of scene understanding and self-driving cars. On the flip side, there are several Street View databases that offer large amounts of useful data, which are still relatively untapped.
David Abou Chacra, John S. Zelek
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Research on Urban Street Spatial Quality Based on Street View Image Segmentation
Assessing the quality of urban street space can provide suggestions for urban planning and construction management. Big data collection and machine learning provide more efficient evaluation methods than traditional survey methods. This study intended to quantify the urban street spatial quality based on street view image segmentation. A case study was
Qilin Zhang, Yixing Chen
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Quantifying Urban Safety Perception on Street View Images
IEEE/WIC/ACM International Conference on Web Intelligence, 2021Felipe Moreno Vera +2 more
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Visual Navigation with Street View Image Matching
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2016Chih-Hung Hsu, Huei-Yung Lin
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CNN-based Rain Reduction in Street View Images
London Imaging Meeting, 2020Zini, Simone +2 more
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