Automatic Calibration for Mobile Cameras by Fusing Multiple Relative and Absolute Visual Cues
Bell Labs Technical Journal
Bagadus: an integrated system for arena sports analytics: a soccer case study
Proceedings of the 4th ACM Multimedia Systems Conference
Bagadus: An integrated real-time system for soccer analytics
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special issue of best papers of ACM MMSys 2013 and ACM NOSSDAV 2013
Interactive multi-frame reconstruction for mobile devices
Multimedia Tools and Applications
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This paper addresses the problem of creating high-resolution and high-quality panoramic images from long image sequences with very different colors and luminance in source images. A fast stitching approach is proposed for combining a set of source images into a panoramic image using little memory, and implemented on mobile phones. In this approach, color correction reduces color differences of source images and balances colors and luminance in the whole image sequence, dynamic programming finds optimal seams in overlapping areas between adjacent images and merges them together, and image blending further smoothens color transitions and hides visible seams and stitching artifacts. A sequential panorama stitching procedure constructs panoramic images. The advantages include fast processing speed using dynamic programming for optimal seam finding, reducing memory needs by using the sequential panorama stitching, and improved quality of image labeling and blending due to the use of color correction. The approach has been tested with different image sequences and it works well on both indoor and outdoor scenes.