Pfullingen, Germany

Thomas Markus Keinz


Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 4(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Thomas Markus Keinz: Innovator in Image Reprojection Technology

Introduction

Thomas Markus Keinz is a notable inventor based in Pfullingen, Germany. He has made significant contributions to the field of image reprojection technology. His innovative approach has led to the development of a unique patent that addresses geometric complexities in image rendering.

Latest Patents

One of Thomas Markus Keinz's key patents is titled "Planar deviation based image reprojection." This patent discloses various image reprojection methods. In one example, a depth buffer of depth values corresponding to an image produced based on a predicted pose is divided into a plurality of tiles. For each tile, a planar deviation error value is calculated to estimate the geometric complexity of the tile. This value penalizes the tile in proportion to how much its geometry deviates from a plane. A tessellated mesh of the tiles is then produced based on these error values. An updated pose is received, and the tessellated mesh is rendered based on this updated pose to output a reprojected image. This innovative method enhances the accuracy and quality of image reprojection.

Career Highlights

Thomas Markus Keinz is currently associated with Microsoft Technology Licensing, LLC. His work at this prominent technology company allows him to further develop and refine his innovative ideas. His contributions have been instrumental in advancing the field of image processing and rendering.

Collaborations

Some of his notable coworkers include Christian Voss-Wolff and Marc Schirski. Their collaboration has likely contributed to the success of various projects within the company.

Conclusion

Thomas Markus Keinz is a distinguished inventor whose work in image reprojection technology has made a significant impact. His patent demonstrates a sophisticated understanding of geometric complexities in image rendering. His contributions continue to influence advancements in the field.

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