We used the combination of multiphoton autofluorescence (MAF), forward second-harmonic generation (FWSHG), and backward second-harmonic generation (BWSHG) imaging for the qualitative and quantitative characterization of thermal damage of ex vivo bovine cornea. We attempt to characterize the structural alterations by qualitative MAF, FWSHG, and BWSHG imaging in the temperature range of 37 to 90°C. In addition to measuring the absolute changes in the three types of signals at the stromal surface, we also performed image correlation analysis between FWSHG and BWSHG and demonstrate that with increasing thermal damage, image correlation between FWSHG and BWSHG significantly increases. Our results show that while MAF and BWSHG intensities may be used as preliminary indicators of the extent of corneal thermal damage, the most sensitive measures are provided by the decay in FWSHG intensity and the convergence of FWSHG and BWSHG images.
For the sake of providing 3D contents for up-coming 3D display devices, a real-time automatic depth fusion
2D-to-3D conversion system is needed on the home multimedia platform. We proposed a priority depth fusion
algorithm with a 2D-to-3D conversion system which generates the depth map from most of the commercial video
sequences. The results from different kinds of depth reconstruction methods are integrated into one depth map
by the proposed priority depth fusion algorithm. Then the depth map and the original 2D image are converted
to stereo images for showing on the 3D display devices. In this paper, a 2D-to-3D conversion algorithm set
is combined with the proposed depth fusion algorithm to show the improved results. With the converted 3D
contents, the needs for 3D display devices will also increase. As long as the two technologies evolve, the 3D-TV
era will come as soon as possible.
This paper presented a novel dense disparity estimation method which is called as symmetric trinocular dense
disparity estimation. Also a car surrounding camera array application is proposed to improve the driving safety
by the proposed symmetric trinocular dense disparity estimation algorithm. The symmetric trinocular property
is conducted to show the benefit of doing disparity estimation with three cameras. A 1D fast search algorithm is
described to speed up the slowness of the original full search algorithms. And the 1D fast search algorithm utilizes
the horizontal displacement property of the cameras to further check the correctness of the disparity vector. The
experimental results show that the symmetric trinocular property improves the quality and smoothness of the
disparity vector.
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