NEW YORK, BRONX (ORDO News) — Holograms have long attracted people‘s attention for their ability to provide realistic and immersive displays of three-dimensional objects. However, the complex process of creating holograms limited their widespread use.
Now, researchers at Chiba University have developed a new approach that uses deep learning to create 3D holograms directly from ordinary 2D color images, making holography more accessible and cost-effective.
Problems of traditional holography
Traditional holography involves recording 3D data of an object and its interaction with light, which requires high computing power and specialized cameras to capture 3D images. These difficulties prevent the widespread use of holograms in various industries.
Deep learning for hologram generation
In recent years, deep learning methods have been proposed for hologram generation using RGB-D cameras that capture both color and depth information about an object.
This approach simplifies the hologram generation process, eliminating many of the computational problems associated with traditional methods.
Breakthrough in holography
Led by Professor Tomoyoshi Shimobaba, a research team at Chiba University has developed a groundbreaking approach that uses deep learning to create 3D holograms directly from regular 2D color images captured by conventional cameras.
The team believes that deep learning has the potential to solve the problems of holographic displays, including 3D data acquisition, computational cost, and transforming hologram images according to the characteristics of the display devices.
Three-step deep learning process
The proposed approach uses three deep neural networks (DNNs) that transform a 2D color image into data suitable for displaying a 3D scene or object as a hologram. The first DNN predicts the depth map of an image, providing information about its 3D structure.
The second DNN uses the original RGB image and depth map to create a hologram, and the third DNN refines the hologram for display on various devices.
Benefits of the new approach
The researchers found that their approach processed data and generated holograms faster than current GPUs. In addition, the final hologram produces a natural 3D image without requiring depth information and expensive 3D imaging devices such as RGB-D cameras.
Professor Shimobaba explains: “Another important advantage of our approach is that the rendered image of the final hologram can be a natural 3D image. Moreover, since depth information is not used when generating the hologram, this approach is inexpensive and does not require the use of devices generating 3D images such as RGB-D cameras after training.”
Implications for various industries
The ability to create 3D holograms from regular 2D color images has significant implications for industries such as medical imaging, manufacturing and virtual reality. Holograms can provide a level of detail that traditional 2D images cannot, improving visualization and accuracy in a variety of applications.
With this breakthrough in holography, researchers at Chiba University have opened up new possibilities for creating realistic and immersive 3D displays, revolutionizing the way we perceive and interact with visual information.
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News agencies contributed to this report, edited and published by ORDO News editors.
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