Snap inc. (20240246590). AUGMENTED REALITY OBJECT RENDERING BASED ON CAMERA QUALITY simplified abstract

AUGMENTED REALITY OBJECT RENDERING BASED ON CAMERA QUALITY

Organization Name

snap inc.

Inventor(s)

Sergey Demyanov of Santa Monica CA (US)

Yunqing Hu of Los Angeles CA (US)

Istvan Marton of Encino CA (US)

Daniil Ostashev of London CA (US)

Aleksei Podkin of Santa Monica CA (US)

AUGMENTED REALITY OBJECT RENDERING BASED ON CAMERA QUALITY - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240246590 titled 'AUGMENTED REALITY OBJECT RENDERING BASED ON CAMERA QUALITY

The abstract describes a patent application for an augmented reality (AR) object rendering system that utilizes a neural network to generate noise and blur parameters for an image, modifies AR objects associated with the image using these parameters, and displays the modified AR objects within the image.

• The system receives an image and generates noise and blur parameters using a neural network trained on a dataset of images.
• It identifies AR objects associated with the image and modifies them using the generated parameters.
• The modified AR objects are then displayed within the original image.

Potential Applications:

• Augmented reality gaming
• Virtual try-on experiences for retail
• Interactive advertising campaigns

Problems Solved:

• Enhances the realism and immersion of AR experiences
• Streamlines the process of modifying AR objects within images

Benefits:

• Improved user engagement and interaction with AR content
• Enhanced visual quality of AR objects within images

Commercial Applications:

• This technology could be utilized by AR developers, advertisers, and retailers to create more engaging and interactive AR experiences for consumers.

Questions about AR Object Rendering System: 1. How does the neural network generate noise and blur parameters for the images? 2. What are some potential challenges in implementing this AR object rendering system in real-world applications?

Frequently Updated Research: There may be ongoing research in the field of neural networks and image processing techniques to further enhance the capabilities of AR object rendering systems.

Original Abstract Submitted

systems and embodiments herein describe an augmented reality (ar) object rendering system. the ar object rendering system receives an image, generates a set of noise parameters and a set of blur parameters for the image using a neural network trained on a paired dataset of images, identifies an ar object associated with the image, modifies the ar object using the set of noise parameters and the set of blur parameters, displays the modified augmented reality object within the image.