This paper proposes a method for the multi-camera tracking of dairy cows using rotated bounding boxes instead of boxes aligned to the horizontal and vertical axes of the cameras. Experiments conducted on videos taken in an actual barn demonstrate the effectiveness of the proposal.
Digital holography is attracting attention because it can record instantaneous three-dimensional (3D) information and record dynamic phenomena. However, when recording high-speed phenomena, the frame rate ranges from tens of thousands to hundreds of millions, and the calculation time of the reconstructed images is a problem. We have developed a special-purpose computer for high-speed 3D imaging using digital holography. The developed special-purpose computer has four calculation modules and has achieved a calculation time 68 times faster than that of a personal computer with 48 cores. With the developed computer, a total of 32 reconstructed images can be calculated in 0.69 ms from four holograms of 128 × 128 pixels with eight varying depths.
One hologram calculation method is the random phase-free method. When this method is used for an amplitude hologram, a reproduced image with a high-quality image can be obtained. However, when the random phase-free method is used for the kinoform, the reproduced image is degraded. In this study, we applied the kinoform encoding method proposed by Li to the random phase-free method to improve the reproduced image. The effectiveness of the proposed method was compared with that of the conventional method via simulations and optical experiments. Additionally, the parameters were optimized by the simulations, and the effectiveness was verified by numerical experiments.
KEYWORDS: Computer generated holography, 3D modeling, 3D displays, Field programmable gate arrays, 3D image processing, Computing systems, Holography, 3D image reconstruction, Visualization, Telecommunications
Electro-holography is a prospective television technology for realizing photorealistic three-dimensional (3D) movies. However, the enormous computational power requirement for generating computer-generated holo- grams (CGHs) for digitally recording 3D information of the displayed image has been a barrier for the practical application of electro-holography. To solve this problem, our team has developed a dedicated computer for electro-holography, namely Holographic Reconstruction (HORN). HORN is a peripheral board-type computer comprising of field programmable gate arrays (FPGAs) and a PCI-express interface to configure cluster systems. In this paper, we introduced the detailed structure of HORN-8 and the implemented algorithms on it. Moreover, we discuss future prospects for improving its visual performance using executed experimental results.
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