Apple inc. (20240201512). LENTICULAR IMAGE GENERATION simplified abstract

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LENTICULAR IMAGE GENERATION

Organization Name

apple inc.

Inventor(s)

Felipe Bacim De Araujo E Silva of San Jose CA (US)

Noah D. Bedard of Pacifica CA (US)

Bosheng Zhang of Sunnyvale CA (US)

Brett D. Miller of Redwood City CA (US)

Seung Wook Kim of Cupertino CA (US)

LENTICULAR IMAGE GENERATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240201512 titled 'LENTICULAR IMAGE GENERATION

Simplified Explanation

The patent application describes methods and apparatus for creating images for lenticular displays. A fixed mesh is generated offline, and real-time texture information is mapped to this mesh. Offline processes involve rendering UV map views for multiple object viewpoints, generating view maps from display calibration data, and creating a lenticular to UV map. Real-time processes capture texture information and generate lenticular images for multiple viewpoints based on the lenticular to UV map.

  • Fixed mesh generated offline
  • Real-time mapping of texture information to fixed mesh
  • Offline rendering of UV map views for object viewpoints
  • Generation of view maps from display calibration data
  • Creation of lenticular to UV map
  • Real-time capture of texture information
  • Generation of lenticular images for multiple viewpoints based on the lenticular to UV map

Key Features and Innovation

  • Offline generation of fixed mesh and UV map views
  • Real-time mapping of texture information for lenticular displays
  • Integration of display calibration data for accurate image generation
  • Dynamic generation of lenticular images based on viewer positions

Potential Applications

The technology can be used in various industries such as advertising, entertainment, education, and gaming for creating interactive and engaging displays.

Problems Solved

The technology addresses the challenge of generating high-quality images for lenticular displays in real-time, ensuring accurate mapping of texture information to fixed meshes.

Benefits

  • Enhanced visual experience on lenticular displays
  • Dynamic generation of images based on viewer positions
  • Accurate mapping of texture information for realistic images

Commercial Applications

  • Interactive advertising displays
  • Immersive entertainment experiences
  • Educational tools for 3D visualization
  • Engaging gaming displays

Prior Art

Readers can explore prior art related to lenticular displays, real-time texture mapping, and UV map rendering techniques.

Frequently Updated Research

Stay updated on advancements in lenticular display technology, real-time image generation, and texture mapping techniques.

Questions about Lenticular Display Technology

How does real-time texture mapping improve image quality on lenticular displays?

Real-time texture mapping ensures accurate and dynamic mapping of texture information to fixed meshes, resulting in high-quality images for lenticular displays.

What are the potential applications of lenticular display technology beyond entertainment?

Lenticular display technology can be utilized in advertising, education, and gaming industries to create interactive and engaging visual experiences.


Original Abstract Submitted

methods and apparatus for generating images to be displayed on lenticular displays. in these methods, a fixed mesh is generated offline, and in real-time texture information is mapped to the fixed mesh. in an offline process, texture and 3d mesh information for an object is used to render uv map views for multiple viewpoints of the object, view maps are generated from display calibration data, and a lenticular to uv map is generated from the uv map views and view maps. in real-time, texture information is captured, and a composite process is performed that generates a lenticular image for multiple viewpoints by sampling pixels from the texture based on the lenticular to uv map. the lenticular image is then displayed on the lenticular display. detected positions of persons in the environment may be used to limit the number of viewpoints that are generated during the real-time composite process.