17959934. IMAGE STITCHING WITH COLOR HARMONIZATION FOR SURROUND VIEW SYSTEMS AND APPLICATIONS simplified abstract (NVIDIA Corporation)

From WikiPatents
Jump to navigation Jump to search

IMAGE STITCHING WITH COLOR HARMONIZATION FOR SURROUND VIEW SYSTEMS AND APPLICATIONS

Organization Name

NVIDIA Corporation

Inventor(s)

Yuzhuo Ren of Sunnyvale CA (US)

Dawid Stanislaw Pajak of San Carlos CA (US)

Niranjan Avadhanam of Saratoga CA (US)

Guangli Dai of Houston TX (US)

IMAGE STITCHING WITH COLOR HARMONIZATION FOR SURROUND VIEW SYSTEMS AND APPLICATIONS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17959934 titled 'IMAGE STITCHING WITH COLOR HARMONIZATION FOR SURROUND VIEW SYSTEMS AND APPLICATIONS

Simplified Explanation

The invention described in the patent application involves using color statistics from ground projections to harmonize color between reference and target frames representing an environment. Here are some key points to explain the innovation:

  • Ground projections from reference and target frames are used to identify overlapping regions.
  • Color statistics such as mean, variance, standard deviation, kurtosis, skew, and correlations between color channels are computed from the ground projections.
  • These color statistics are then used to modify the colors of the target frame to match those from the ground projection of the reference frame, harmonizing color across both frames.

Potential Applications

This technology could be applied in various fields such as:

  • Image processing
  • Video editing
  • Augmented reality

Problems Solved

This technology helps in:

  • Ensuring color consistency between different frames
  • Enhancing the visual quality of images and videos

Benefits

Some benefits of this technology include:

  • Improved color accuracy
  • Enhanced visual appeal
  • Simplified color correction processes

Potential Commercial Applications

With its color harmonization capabilities, this technology could be valuable in industries such as:

  • Photography
  • Film production
  • Graphic design

Possible Prior Art

One possible prior art could be the use of color correction algorithms in image editing software to adjust colors for consistency.

What is the impact of this technology on the film industry?

This technology could revolutionize the film industry by streamlining the color correction process and ensuring consistent color quality throughout a film.

How does this innovation compare to traditional color correction methods?

This innovation offers a more automated and efficient way to harmonize color between frames, reducing the manual effort required in traditional color correction processes.


Original Abstract Submitted

In various examples, color statistic(s) from ground projections are used to harmonize color between reference and target frames representing an environment. The reference and target frames may be projected onto a representation of the ground (e.g., a ground plane) of the environment, an overlapping region between the projections may be identified, and the portion of each projection that lands in the overlapping region may be taken as a corresponding ground projection. Color statistics (e.g., mean, variance, standard deviation, kurtosis, skew, correlation(s) between color channels) may be computed from the ground projections (or a portion thereof, such as a majority cluster) and used to modify the colors of the target frame to have updated color statistics that match those from the ground projection of the reference frame, thereby harmonizing color across the reference and target frames.