Nvidia corporation (20240135487). IMAGE STITCHING WITH SACCADE-BASED CONTROL OF DYNAMIC SEAM PLACEMENT FOR SURROUND VIEW VISUALIZATION simplified abstract

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IMAGE STITCHING WITH SACCADE-BASED CONTROL OF DYNAMIC SEAM PLACEMENT FOR SURROUND VIEW VISUALIZATION

Organization Name

nvidia corporation

Inventor(s)

Steen Kristensen of Santa Clara CA (US)

Simon Kiefhaber of Santa Clara CA (US)

IMAGE STITCHING WITH SACCADE-BASED CONTROL OF DYNAMIC SEAM PLACEMENT FOR SURROUND VIEW VISUALIZATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240135487 titled 'IMAGE STITCHING WITH SACCADE-BASED CONTROL OF DYNAMIC SEAM PLACEMENT FOR SURROUND VIEW VISUALIZATION

Simplified Explanation

The patent application describes a method for generating stitched images from overlapping image frames using dynamic seam placement that depends on scene content and other factors. Constraints are applied to limit the movement of dynamically placed seams to reduce discontinuities in the visualization on a display.

  • Dynamic seam placement in stitched images
  • Constraints to limit seam movement over time

Potential Applications

This technology could be applied in:

  • Virtual reality
  • Augmented reality
  • Panoramic photography

Problems Solved

  • Discontinuities in stitched images
  • Seam placement optimization

Benefits

  • Improved visual quality
  • Seamless transitions in stitched images

Potential Commercial Applications

Optimized Seam Placement Technology for Enhanced Visual Experiences

Possible Prior Art

There may be prior art related to image stitching techniques and seam placement algorithms.

Unanswered Questions

How does eye tracking technology enhance the seam placement process?

Eye tracking technology can detect when a person is not looking at the display, allowing for relaxation of constraints on seam movement. This ensures a better viewing experience, but the specific details of how this integration works are not fully explained in the abstract.

What factors determine the optimal seam placement in stitched images?

The abstract mentions that seam placement depends on scene content and other factors, but it does not specify what these factors are or how they are taken into account during the placement process. Further details on the decision-making process for seam placement would provide a clearer understanding of the technology.


Original Abstract Submitted

in various examples, a stitched image may be generated from overlapping image frames using a dynamic seam placement that depends on scene content and/or other factors. since an optimized seam placement may jump from a previous location from time slice to time slice, one or more constraints may be applied to limit the movement of dynamically placed seams such that any given seam moves gradually over time, limiting potential discontinuities in a visualization of the stitched image on a display. eye tracking may be used to detect a saccade of a monitored person and/or detect that the monitored person is not looking at the display, and one or more of the constraints used to limit the movement of dynamically placed seams may be relaxed or lifted when the monitored person is experiencing a saccade and/or is looking away from the display.