Cupertino, CA, United States of America

Kuntal Sengupta


Average Co-Inventor Count = 3.5

ph-index = 2

Forward Citations = 5(Granted Patents)


Location History:

  • San Jose, CA (US) (2017)
  • Cupertino, CA (US) (2017 - 2019)

Company Filing History:


Years Active: 2017-2019

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5 patents (USPTO):Explore Patents

Title: Kuntal Sengupta: Innovator in Image Alignment Technologies

Introduction

Kuntal Sengupta is a prominent inventor based in Cupertino, California. He has made significant contributions to the field of image alignment technologies, holding a total of five patents. His work focuses on developing systems and methods that enhance the accuracy and efficiency of image processing.

Latest Patents

Kuntal Sengupta's latest patents include innovative methods for image alignment. One of his notable patents is titled "Systems and methods for image alignment." This method involves determining sets of patches from two images, computing transformation operations to align these patches, and grouping match pairings into clusters for effective image alignment. Another significant patent is "Systems and methods for coarse-to-fine ridge-based biometric image alignment." This method outlines a process for aligning skeletonized biometric images by generating coarse representations and identifying candidate transformations that minimize differences between images.

Career Highlights

Kuntal Sengupta is currently employed at Synaptics Corporation, where he continues to push the boundaries of image processing technology. His expertise in biometric image alignment and transformation operations has positioned him as a key player in the industry.

Collaborations

Kuntal has collaborated with notable coworkers, including Anthony P Russo and Kinh Tieu. Their combined efforts contribute to the advancement of innovative technologies within their field.

Conclusion

Kuntal Sengupta's work in image alignment technologies showcases his dedication to innovation and excellence. His patents reflect a deep understanding of complex image processing techniques, making him a valuable asset in the tech industry.

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