Company Filing History:
Years Active: 2013
Title: Innovations of Peter Cocoran
Introduction
Peter Cocoran is an accomplished inventor based in Claregalway, Ireland. He has made significant contributions to the field of digital image processing, particularly in the area of face modeling. His innovative techniques have the potential to enhance various applications in computer vision and image analysis.
Latest Patents
Cocoran holds a patent for a technique titled "Separating directional lighting variability in statistical face modelling based on texture space decomposition." This patent describes a method for determining characteristics of a face or other objects within a digital image. The process involves acquiring an image and applying a linear texture model constructed from a training data set. This model includes components that exhibit a dependency on directional lighting variations and those that are independent of such variations. The model is fitted to the object, allowing for the adjustment of individual values of the model components. Ultimately, this technique enables the determination of specific characteristics of the face or object in the scene.
Career Highlights
Throughout his career, Peter Cocoran has worked with notable organizations, including Adeia Semiconductor and Bonding Technologies Inc. He has also been associated with the National University of Ireland, where he has contributed to research and development in his field. His work has been instrumental in advancing the understanding of face modeling and image processing.
Collaborations
Cocoran has collaborated with talented individuals such as Mircea Ionita and Ioana Bacivarov. These partnerships have fostered innovation and have led to the development of cutting-edge techniques in the realm of digital imaging.
Conclusion
Peter Cocoran's contributions to the field of face modeling and digital image processing are noteworthy. His innovative patent and collaborations highlight his commitment to advancing technology in this area. His work continues to influence the development of new techniques and applications in computer vision.