VideoVR: A real-time system for automatically constructing panoramic images from video clips

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Abstract

An authoring system is proposed to construct panoramic images of real-world scenes from video clips automatically. Instead of using special hardware such as fish-eye lens, our method is less hardware-intensive and more flexible to capture real-world scenes without loss of efficiency. Unlike current panoramic stitching methods, where users need to select a set of images before constructing a panoramic image, our system will choose essential frames and stitch them together automatically in 16 seconds on a Pentium-II PC. In addition to popular image-based VR data formats, we also output the panoramic images in VRML97 format.

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APA

Chen, D. Y., Ho, M. C. C., & Ouhyoung, M. (1998). VideoVR: A real-time system for automatically constructing panoramic images from video clips. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1537, pp. 140–143). Springer Verlag. https://doi.org/10.1007/3-540-49384-0_11

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