Davi Geiger

Title: Davi Geiger: Innovator in Motion and Image Processing

Introduction

Davi Geiger is a prominent inventor based in New York, NY (US), known for his significant contributions to the fields of motion analysis and image processing. With a total of 10 patents to his name, Geiger has developed innovative methods that enhance the understanding of motion and structure from visual data.

Latest Patents

One of Geiger's latest patents is titled "System and method for determining motion and structure from optical flow." This invention outlines a method and system for extracting motion and structure from a sequence of images stored on a computer system. The process involves obtaining images that include a set of three-dimensional (3D) points over multiple frames, determining the instantaneous motion of these points, and computing an optical flow based on their velocity projections. Additionally, the patent describes how to compute the depth of the 3D points and determine an epipolar line in the images using the optical flow.

Another notable patent is the "Method and apparatus for segmenting an image in order to locate a part thereof." This invention provides a method to automatically segment 3D and higher-dimensional images into two subsets without user intervention. The solution is optimized according to a precisely defined criterion, utilizing a minimum-cut algorithm on a specially devised graph to achieve the desired segmentation properties.

Career Highlights

Davi Geiger has worked with esteemed institutions such as New York University and Ondotek, Inc. His work has significantly impacted the fields of computer vision and image processing, making him a respected figure in the innovation landscape.

Collaborations

Geiger has collaborated with notable individuals in his field, including Hiroshi Ishikawa and Zvi M Kedem. These collaborations have further enriched his research and development efforts.

Conclusion

Davi Geiger's innovative work in motion analysis and image processing has led to significant advancements in technology. His contributions continue to influence the way we understand and interpret visual data.