Kaohsiung, Taiwan

Chia-Te Liao


Average Co-Inventor Count = 4.2

ph-index = 3

Forward Citations = 45(Granted Patents)


Location History:

  • Hsinchu, TW (2012)
  • Kaohsiung, TW (2009 - 2015)

Company Filing History:


Years Active: 2009-2015

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7 patents (USPTO):Explore Patents

Title: Innovations of Chia-Te Liao in Facial Recognition Technology.

Introduction

Chia-Te Liao is a prominent inventor based in Kaohsiung, Taiwan. He has made significant contributions to the field of facial recognition technology, holding a total of 7 patents. His work focuses on developing advanced systems that enhance the accuracy and reliability of facial expression recognition.

Latest Patents

One of Liao's latest patents is a facial expression recognition system that includes a facial database, an image capture unit, an expression recognition data generation unit, and an expression recognition unit. This system captures multiple facial images and calculates expression features of optical flow field to determine facial expressions accurately. Another notable patent involves a face recognition method that reconstructs a 3D face model from a single image. This method synthesizes various face images under different conditions and utilizes a face recognition classifier to identify legal system users while rejecting imposters.

Career Highlights

Chia-Te Liao has worked with notable organizations such as Hannstar Display Corporation and Tsinghua University. His experience in these institutions has allowed him to refine his skills and contribute to groundbreaking innovations in facial recognition technology.

Collaborations

Liao has collaborated with several professionals in his field, including Tean-Sen Jen and Chia-Hua Yu, who is a woman. These collaborations have further enriched his research and development efforts.

Conclusion

Chia-Te Liao's innovative work in facial recognition technology showcases his expertise and dedication to advancing this field. His patents reflect a commitment to improving the accuracy and functionality of facial recognition systems.

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