Zen-Chung Shih

Title: Innovations of Zen-Chung Shih in Depth Sensing Technology

Introduction

Zen-Chung Shih is a prominent inventor based in Taipei, Taiwan. He has made significant contributions to the field of depth sensing technology, holding a total of 2 patents. His work focuses on enhancing the accuracy and functionality of depth sensing apparatuses through innovative methods and systems.

Latest Patents

One of his latest patents is titled "Depth sensing apparatus with self-calibration and self-calibration method thereof." This invention provides a depth sensing apparatus that includes a projection apparatus, an image capturing apparatus, and a calibration module. The projection apparatus is designed to project a calibration pattern and a depth computation pattern onto a reference plane. The image capturing apparatus captures images that include these patterns, while the calibration module adjusts the apparatus parameters to calibrate any depth computation deviations.

Another notable patent is the "Non-planar surface projecting system, auto-calibration method thereof, and auto-calibration device thereof." This invention involves a non-planar surface auto-calibration method that measures a depth map of a projection surface. It calibrates the corresponding areas and adjusts interactive content based on the depth map, enhancing the overall user experience.

Career Highlights

Zen-Chung Shih is affiliated with the Industrial Technology Research Institute, where he continues to develop innovative solutions in depth sensing technology. His work has been instrumental in advancing the capabilities of depth sensing systems, making them more efficient and reliable.

Collaborations

He collaborates with various professionals in his field, including his coworker Te-Mei Wang, to further enhance the research and development of depth sensing technologies.

Conclusion

Zen-Chung Shih's contributions to depth sensing technology through his innovative patents demonstrate his expertise and commitment to advancing this field. His work continues to influence the development of more accurate and efficient depth sensing systems.