1998
DOI: 10.1016/s0924-2716(98)00016-1
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Panoramic imaging and virtual reality — filling the gaps between the lines

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Cited by 10 publications
(5 citation statements)
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“…Recently, with the advances in both the photogrammetry and immersive environments, the former becomes more widely considered as a feasible way of generating high-quality content for VR. Simultaneously, as remarked in 1998 by Chapman et al [52], VR opens up a range of new opportunities for application of digital photogrammetric technologies, not only for measurements purposes. Therefore, in this review, we report both on research that emphasizes enriching user-experience and facilitating the use of the VR immersive environment by the application of photogrammetric models, and on the usage of VR to aid extracting relevant data from the digital photogrammetric models, for practical, domain-related purposes.…”
Section: Related Workmentioning
confidence: 90%
“…Recently, with the advances in both the photogrammetry and immersive environments, the former becomes more widely considered as a feasible way of generating high-quality content for VR. Simultaneously, as remarked in 1998 by Chapman et al [52], VR opens up a range of new opportunities for application of digital photogrammetric technologies, not only for measurements purposes. Therefore, in this review, we report both on research that emphasizes enriching user-experience and facilitating the use of the VR immersive environment by the application of photogrammetric models, and on the usage of VR to aid extracting relevant data from the digital photogrammetric models, for practical, domain-related purposes.…”
Section: Related Workmentioning
confidence: 90%
“…3) Wide FOV Imaging: Catadioptric techniques combine lenses and mirrors in camera design and are often used to increase the camera FOV [53]- [60]. These techniques have significant impacts on a variety of real-world applications, including surveillance, autonomous navigation, virtual reality, and video conferencing [61]- [63].…”
Section: A Spatially Variant Filter 1) Depth Estimationmentioning
confidence: 99%
“…Using only overlapped 2D images, from digital still cameras, video cameras, or scanned photographs, along with some CAD information has been demonstrated in a number of practical applications 3,4,19,20 . The accuracy is usually higher than range sensors.…”
Section: Photogrammetrymentioning
confidence: 99%