Hologram Agreement Definition

What about tomorrow? “Holograms will allow collaborative work remotely,” expects Didier Duffuler, CEO of Oreka. “We are already seeing a new technique that allows the hologram to be projected through a process-based blade. This process will therefore make it possible to link the delivery medium to the projected hologram,” adds St├ęphane Bertrand, founder of the company 3D Emotion. In this configuration called the image level version, the input and output of the CNN share a significant spatial correspondence, which simplifies the mapping of the CNN and thus facilitates training [26,29-31]. During operation, this two-step sequence allows for rapid calculation of holograms in a fixed and predictable time window, which depends solely on the size of the model (number of bend layers, number of cores, and kernel size) as well as the number of depth and hologram resolution planes. The goal of computer-generated holography (CGH) is to synthesize custom lighting models by modulating a coherent beam of light. CGH algorithms are typically based on iterative optimization with a built-in trade-off between computational speed and hologram accuracy, which limits performance in advanced applications such as optogenetic photostimulation. We are introducing a non-iterative algorithm, DeepCGH, based on a neural bending network with unmonitored learning to compute accurate holograms with solid computational complexity. Simulations show that our method generates holograms at faster scales and with up to 41% more accuracy than other CGH techniques. (b) Accuracy of the simulation of the reconstruction of the 3D intensity according to the calculation time of the holograms of the size $m = $ 512 with 7 depth planes and $m = $ 1024 with 11 depth levels. Calculation speeds for GS and NOVO-CGH are displayed for an increasing number of 3500 iterations. The simulation results for six different 3D models show (c) the inference time for DeepCGH, (d) the calculation time ratio $T$, so that iterative methods reach 95% of the maximum accuracy they can achieve, at DeepCGH`s inference time, $T{DeepCGH}} and (e) the maximum achievable accuracy of iterative methods relative to DeepCGH`s accuracy. In section 2, we introduce the DeepCGH algorithm.

In section 3, we compare DeepCGH to existing algorithms in terms of speed and accuracy. The results of the simulation indicate that DeepCGH exceeds the current state of the art and provides holograms of several orders of magnitude faster and with greater accuracy than existing algorithms. We present experimental results for cGH application in neuronal photostimulation using a holographic multiphoton microscope and demonstrate improved absorption of two photons in holograms generated by DeepCGH. In Canada, holographic marks are generally not permitted when they cannot be represented graphically or if they are considered to be more than one mark, see first external link. Another surprising technological evolution: when holography and artificial intelligence come together to support smart homes.. . . .