Dashan Gao

Title: Innovations of Dashan Gao

Introduction

Dashan Gao is a notable inventor based in La Jolla, California. He has made significant contributions to the field of digital image processing, holding 2 patents that showcase his innovative approaches.

Latest Patents

Gao's latest patents include a "Computer-implemented system and method for recognizing patterns in a digital image through document image decomposition." This invention provides a method for retrieving a digital image by extracting generic visual features and organizing them into a primitive layer and a layout layer. The system expresses causal dependencies through zone models, which include probabilistic models generated via a learned binary edge classifier. The optimal set selection problem is evaluated through a heuristic search, resulting in a non-overlapping optimal set of zone hypotheses that characterize the stored digital image.

Another significant patent is the "System and method for decomposing a digital image." This invention represents a digital image as a word-graph, which includes words and visualized features. The method groups words into zone hypotheses and expresses causal dependencies through a learned generative zone model. An optimal set of non-overlapping zone hypotheses is inferred through a heuristic search of assigned costs and constraints.

Career Highlights

Dashan Gao is currently associated with Palo Alto Research Center Inc., where he continues to develop innovative solutions in digital imaging. His work has contributed to advancements in how digital images are processed and understood.

Collaborations

Gao has collaborated with notable coworkers, including Yizhou Wang and Haitham Hindi, who have also contributed to the field of digital image processing.

Conclusion

Dashan Gao's contributions to digital image processing through his patents reflect his innovative spirit and dedication to advancing technology. His work continues to influence the field and inspire future developments.