Sunnyvale, CA, United States of America

Lorenz Kern


Average Co-Inventor Count = 2.5

ph-index = 1


Location History:

  • Munich, DE (2017)
  • Sunnyvale, CA (US) (2017 - 2019)

Company Filing History:


Years Active: 2017-2019

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3 patents (USPTO):Explore Patents

Title: Innovations by Lorenz Kern

Introduction

Lorenz Kern is an accomplished inventor based in Sunnyvale, CA. He has made significant contributions to the field of image processing, holding a total of 3 patents. His work focuses on advanced techniques for pixel classification and feature detection in images.

Latest Patents

Kern's latest patents include innovative systems and methods for categorizing pixels in images. One of his notable inventions involves pixel classification techniques that utilize properties of the regions being categorized to determine the appropriate size of the evaluation window around a target pixel. This adaptive window size selection technique is particularly useful when categorizing pixels into two categories, such as black or white.

Another significant patent describes an apparatus for detecting features in an image. This apparatus includes an image input section that receives image data and a feature detection module that attributes a feature probability value to each pixel. The extremum determination module then identifies local extrema among these values, providing a final indication for each pixel based on its feature probability.

Career Highlights

Lorenz Kern is currently employed at Apple Inc., where he continues to develop cutting-edge technologies in image processing. His work has been instrumental in enhancing the capabilities of image analysis systems.

Collaborations

Kern has collaborated with notable colleagues, including Norbert Stoeffler and Lejing Wang, contributing to various projects that push the boundaries of image processing technology.

Conclusion

Lorenz Kern's innovative work in pixel classification and feature detection has made a significant impact in the field of image processing. His contributions continue to influence advancements in technology and improve image analysis systems.

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