View source for Nvidia corporation (20240112472). IMAGE STITCHING WITH COLOR HARMONIZATION FOR SURROUND VIEW SYSTEMS AND APPLICATIONS simplified abstract

=IMAGE STITCHING WITH COLOR HARMONIZATION FOR SURROUND VIEW SYSTEMS AND APPLICATIONS=


==Organization Name==

[[:Category:nvidia corporation|nvidia corporation]]


[[Category:nvidia corporation]]

==Inventor(s)==

[[:Category:Yuzhuo Ren of Sunnyvale CA (US)|Yuzhuo Ren of Sunnyvale CA (US)]][[Category:Yuzhuo Ren of Sunnyvale CA (US)]]

[[:Category:Dawid Stanislaw Pajak of San Carlos CA (US)|Dawid Stanislaw Pajak of San Carlos CA (US)]][[Category:Dawid Stanislaw Pajak of San Carlos CA (US)]]

[[:Category:Niranjan Avadhanam of Saratoga CA (US)|Niranjan Avadhanam of Saratoga CA (US)]][[Category:Niranjan Avadhanam of Saratoga CA (US)]]

[[:Category:Guangli Dai of Houston TX (US)|Guangli Dai of Houston TX (US)]][[Category: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 20240112472 titled 'IMAGE STITCHING WITH COLOR HARMONIZATION FOR SURROUND VIEW SYSTEMS AND APPLICATIONS

==Simplified Explanation==

The patent application describes a method for harmonizing color between reference and target frames by using color statistics from ground projections.

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

== Potential Applications ==
This technology could be applied in image and video editing software to ensure consistent color representation across different frames or scenes.

== Problems Solved ==
This technology solves the problem of color inconsistency between reference and target frames in image and video processing.

== Benefits ==
The benefits of this technology include improved color harmony and consistency in visual content, leading to a more professional and polished final product.

== Potential Commercial Applications ==
A potential commercial application of this technology could be in the film and television industry, where color consistency is crucial for maintaining the visual integrity of a production.

== Possible Prior Art ==
One possible prior art for this technology could be color correction algorithms used in image processing software to adjust colors for consistency and accuracy.

=== Unanswered Questions ===

=== How does this technology handle color variations in different lighting conditions? ===
This technology does not address how it handles color variations caused by different lighting conditions in the environment.

=== Can this technology be applied to real-time video processing? ===
The patent application does not specify whether this technology can be implemented for real-time video processing applications.


==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.



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