Gabriel Cuendet

Title: The Innovations of Gabriel Cuendet

Introduction

Gabriel Cuendet is a notable inventor based in Fribourg, Switzerland. He has made significant contributions to the field of data extraction through his innovative patents. With a total of two patents to his name, Cuendet's work focuses on enhancing the efficiency of data processing from digital images.

Latest Patents

One of Gabriel Cuendet's latest patents is centered around the automatic data extraction from a digital image. This invention involves a computer-implemented method that automatically extracts data from a digital image containing a graphical representation of quantitative data. The method includes detecting basic graphical objects and determining structural primitives by grouping these objects based on geometric relations. Each structural primitive is assigned a semantic label, which aids in identifying a spatial data region within the graphical representation. Quantitative data values are then extracted from the structural primitives, which are assigned first semantic labels to represent the quantitative data. The extracted values are initially provided in pixel units according to an image coordinate system and are subsequently transformed into a coordinate system of physical units relevant to the quantitative data represented.

Career Highlights

Throughout his career, Gabriel Cuendet has worked with prominent organizations, including the International Business Machines Corporation (IBM) and the Centre Hospitalier Universitaire Vaudois. His experience in these institutions has contributed to his expertise in the field of data extraction and processing.

Collaborations

Cuendet has collaborated with notable colleagues such as Konstantinos Bekas and Maria Gabrani. These partnerships have likely enriched his work and contributed to the development of his innovative patents.

Conclusion

Gabriel Cuendet's contributions to the field of data extraction through his patents demonstrate his commitment to innovation. His work continues to influence the way quantitative data is processed from digital images, showcasing the importance of advancements in technology.