Abstract
The key obstacle to the use of consumer cameras in computer vision and computer graphics applications is the lack of synchronization hardware. We present a stroboscope based synchronization approach for the charge-coupled device (CCD) consumer cameras. The synchronization is realized by first aligning the frames from different video sequences based on the smear dots of the stroboscope, and then matching the sequences using a hidden Markov model. Compared with current synchronized capture equipment, the proposed approach greatly reduces the cost by using inexpensive CCD cameras and one stroboscope. The results show that our method could reach a high accuracy much better than the frame-level synchronization of traditional software methods.
Highlights
In the past few decades, image sensors have been widely used in industry and daily life
Processes of the imaging and smear generation of full frame charge-coupled device (CCD) sensors are presented, and, based on the numerical analysis of the strobe smear dot, we present a stroboscope based synchronization approach for full frame CCD cameras
To synchronize the video sequences of multiple CCD cameras, we first align the frames from different sequences by adjusting the smear dot positions equidistant from the strobe positions for each camera and match the flashes to determine the offset time among cameras using a hidden Markov model
Summary
In the past few decades, image sensors have been widely used in industry and daily life. Image based or video based approaches have been developed for the reconstruction of opaque objects [1,2], flames [3,4,5,6], gases [7], water surface [8,9], mixing fluid [10], humans [11], etc. Information extracted from these approaches is valuable for a variety of applications, such as re-rendering the objects, developing data-driven models and improving results for physically-based simulation methods [3,12]. CCD (charge-coupled device) [15] and CMOS (complementary metal oxide semiconductor) [16]
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