Taipei, Taiwan

Sheng-Yuan Chen


Average Co-Inventor Count = 2.6

ph-index = 1


Company Filing History:


Years Active: 2020-2021

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3 patents (USPTO):Explore Patents

Title: Innovations of Sheng-Yuan Chen

Introduction

Sheng-Yuan Chen is a notable inventor based in Taipei, Taiwan. He has made significant contributions to the field of technology, particularly in object attribution analysis and stereo vision image calibration. With a total of 3 patents to his name, Chen continues to push the boundaries of innovation.

Latest Patents

One of his latest patents is an "Object attribution analyzing method and related object attribution analyzing device." This method involves dividing a series of continuous frames into a current frame and several previous frames. It utilizes face detection to track and compute a first attribution predicted value of an object within the current frame. Additionally, it acquires a feature parameter of the object for setting a first weighting and generates a first induction attribution predicted value of the object across the frames.

Another significant patent is the "Stereo vision image calibration method and related image capturing device." This method is applied to an image capturing device that includes a first camera and a second camera. The cameras are arranged to acquire images that are then rectified using a stereo vision parameter. The calibration method computes a global disparity vector to ensure accurate image capturing.

Career Highlights

Sheng-Yuan Chen is currently employed at Vivotek Inc., where he applies his expertise in developing advanced imaging technologies. His work has been instrumental in enhancing the capabilities of image capturing devices.

Collaborations

Chen collaborates with talented individuals such as Kuan-Yu Lin and Chun-Yi Wu, contributing to innovative projects that advance the field of technology.

Conclusion

Sheng-Yuan Chen's contributions to technology through his patents and work at Vivotek Inc. highlight his role as a leading inventor in the industry. His innovative methods in object attribution analysis and stereo vision calibration continue to influence advancements in imaging technology.

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