San Jose, CA, United States of America

Armin Kappeler


Average Co-Inventor Count = 3.4

ph-index = 2

Forward Citations = 31(Granted Patents)


Location History:

  • Santa Clara, CA (US) (2015)
  • San Jose, CA (US) (2016)

Company Filing History:


Years Active: 2015-2016

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2 patents (USPTO):Explore Patents

Title: Armin Kappeler: Innovator in Face Recognition and Video Alignment Technologies

Introduction

Armin Kappeler is a notable inventor based in San Jose, CA, who has made significant contributions to the fields of face recognition and video alignment technologies. With a total of 2 patents, Kappeler's work focuses on enhancing the accuracy and efficiency of image processing systems.

Latest Patents

Kappeler's latest patents include a "Method and system for face recognition using deep collaborative representation-based classification." This invention provides a comprehensive approach to face recognition by utilizing a plurality of training face images and deep learning networks to classify input images based on minimal residual errors. Another significant patent is the "Method and apparatus for video sequential alignment," which outlines a process for aligning video sequences through feature extraction and hierarchical sequential alignment algorithms. This method aims to optimize the alignment path using advanced algorithms, ensuring precise video synchronization.

Career Highlights

Armin Kappeler is currently employed at Tcl Research America Inc., where he continues to innovate and develop cutting-edge technologies. His expertise in deep learning and image processing has positioned him as a key player in the tech industry.

Collaborations

Kappeler has collaborated with talented individuals such as Haohong Wang and Michael Iliadis, contributing to the advancement of their shared projects and innovations.

Conclusion

Armin Kappeler's contributions to face recognition and video alignment technologies demonstrate his commitment to innovation and excellence in the field. His patents reflect a deep understanding of complex algorithms and their applications in real-world scenarios.

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