{
  "$type": "site.standard.document",
  "description": "A set of training images are input into a neural network that outputs a pixel-wise phase matrix identifying pixels in the training images. Based on the pixel-wise phase matrix, a spatial light modulator (SLM) is actuated to output, onto a vehicle windshield, an augmented reality (AR) image…",
  "path": "/patents/1354333",
  "publishedAt": "2023-11-09T00:00:00.000Z",
  "site": "at://did:plc:oql6ds5vnff4ugar6rruliwd/site.standard.publication/3mn3ohu7oxx5w",
  "tags": [
    "G06T19/006",
    "Ford Global Technologies, LLC"
  ],
  "textContent": "A set of training images are input into a neural network that outputs a pixel-wise phase matrix identifying pixels in the training images. Based on the pixel-wise phase matrix, a spatial light modulator (SLM) is actuated to output, onto a vehicle windshield, an augmented reality (AR) image including a plurality of sub-images each output in one of a plurality of focal planes. Each training image corresponds to one respective sub-image. A feedback image of the AR image is obtained via an image sensor. An offset is determined based on comparing the training images to the feedback image. Parameters of a loss function are updated based on the offset, and the updated parameters are provided to the neural network to obtain an updated offset.",
  "title": "MULTI-PLANE AUGMENTED REALITY IMAGE GENERATION"
}