Liang Wan

Title: Innovations by Inventor Liang Wan

Introduction

Liang Wan is a notable inventor based in Hong Kong, CN. He has made significant contributions to the field of technology, particularly in image processing and handwriting recognition. With a total of 3 patents, his work has garnered attention for its innovative approaches and practical applications.

Latest Patents

Liang Wan's latest patents include a method, device, and program for detecting perceptual features of a larger image and incorporating information of the detected perceptual features into a smaller preview image. This patent describes systems and methods for perceptual image preview, where a naive preview image is generated by downsampling a larger image. The perceptual features of the larger image are detected, and information associated with these features is incorporated into the naive preview image, creating a perceptual preview image. This innovation enhances the viewer's ability to detect the presence or absence of perceptual features in the larger image.

Another significant patent by Liang Wan focuses on handwriting recognition training and synthesis. This patent provides methods and systems for converting text into natural personal handwriting. One aspect of this invention relates to training a computer to recognize a user's handwriting style by receiving handwriting samples of at least one character. Further embodiments allow for increased personalization of the handwriting, including variant shapes of letters and pressure-sensitive connection parts.

Career Highlights

Liang Wan is currently associated with Microsoft Technology Licensing, LLC, where he continues to develop and refine his innovative ideas. His work at Microsoft has allowed him to collaborate with other talented individuals in the field.

Collaborations

Liang Wan has worked alongside notable colleagues such as Zhouchen Lin and Wei Feng, contributing to the advancement of technology through their combined expertise.

Conclusion

Liang Wan's contributions to technology through his patents in image processing and handwriting recognition demonstrate his innovative spirit and commitment to enhancing user experience. His work continues to influence the field and inspire future advancements.