Tensor Hologram: A Revolutionary Technology
Basic of Hologram
A hologram is a 3D image that looks like it is floating in space. It is created by recording the light waves that bounce off an object. When the hologram is illuminated, the light waves are diffracted and recreate the image of the object.
The Normal hologram, also known as classical hologram, which are created using coherent laser light and recorded on photosensitive materials such as plates or films. These holograms are static and require specific lighting conditions and angles to the constructed image, but they do not change or adapt in real-time.
Tensor Hologram
These Hologram represents a more advanced and dynamic form of holography. It involves the use of complex algorithms, computational methods and advanced optics to generate and manipulate holographic images in real-time.
They can produce interactive, dynamic and adaptive 3D images that can viewed in multiple angles without the need of specific lightening conditions or head-mounted devices. They allow for real-time interactions, such as changing viewing perspectives or rotating objects.
The term 'tensor' in the tensor hologram refers to the mathematical concepts of tensors, which are multi-dimensional arrays used to represent and transform data in physics and mathematics.
Tools and libraries that can be used to implement hologram:
- OpenCV: OpenCV is an open-source computer vision library that can be used to process and analyse images. It can be used to develop tensor holograms by providing a number of tools and libraries that can be used to improve the quality of the images and make them more realistic.
- TensorFlow Lite: TensorFlow Lite is a lightweight version of TensorFlow that is optimized for mobile devices. It can be used to run deep learning models on smartphones and other mobile devices.
- PlaidML: PlaidML is an open-source framework for developing machine learning models on mobile devices. It supports a wide range of deep learning models, including those used for tensor holography.
Some of the key components used to implement tensor hologram.
- A display: The display is the component that creates the image. It is made up of a series of tiny, square pixels that are arranged in a grid. When light passes through the display, it is diffracted, or bent, in such a way that it creates the illusion of a three-dimensional object.
- A lens: The lens is used to focus the light from the display onto the viewer's eyes. It is made up of a series of curved surfaces that bend the light in a specific way. This allows the lens to create the illusion of depth without the need for bulky optics.
- A controller: The controller is used to generate the images that are displayed on the display. It is responsible for calculating the diffraction patterns that are needed to create the illusion of depth.
The frameworks that can be used to develop tensor holograms on smartphones includes.
- Hologram Studio: Hologram Studio is a commercial framework for developing tensor holograms on smartphones. It provides a user-friendly interface for creating and editing holograms.
- Hologram Maker: Hologram Maker is an open-source framework for developing tensor holograms on smartphones. It is written in Python and can be used to create and edit holograms using a variety of tools.
- Hologram Toolbox: Hologram Toolbox is an open-source framework for developing tensor holograms on smartphones. It is written in MATLAB and can be used to create and edit holograms using a variety of tools.
The major challenges involved in developing a tensor hologram are: Data Collection, Model Training, Hologram Creation and Hologram Testing.