This inventor holds 1 USPTO granted patent. Top assignee: Canon Kabushiki Kaisha. Active years: 2007.
Company Filing History:
Years Active: 2007
Title: Christopher James Cormie: Innovator in Imaging Engine Systems
Introduction
Christopher James Cormie is a notable inventor based in Gladesville, Australia. He has made significant contributions to the field of imaging technology, particularly in optimizing compositing calculations for graphical object images. His work is particularly relevant for systems with limited computing resources, such as thin clients.
Latest Patents
Cormie holds a patent for "Optimising compositing calculations for a run of pixels." This patent discloses an imaging engine system designed to enhance the reproduction of graphical object images. The invention leverages developments in traditional image processing and rendering to achieve high-quality image generation. One key aspect of his patent is the use of temporal coherence between frames in an animation sequence, which allows for the static edges of graphical objects to be efficiently rendered across multiple frames. Additionally, the patent addresses antialiasing during scan line rendering and simplifies the compositing stack of image layers to be rendered in a raster scan fashion.
Career Highlights
Christopher Cormie has worked with Canon Kabushiki Kaisha, where he has been able to apply his innovative ideas in imaging technology. His work has contributed to advancements in how graphical images are processed and rendered, making significant strides in the efficiency of image generation.
Collaborations
Cormie has collaborated with notable colleagues such as Michael Jan Lawther and Stephen Edward Ecob. These collaborations have likely enriched his work and contributed to the development of innovative imaging solutions.
Conclusion
Christopher James Cormie's contributions to imaging technology through his patent and work at Canon Kabushiki Kaisha highlight his role as an innovator in the field. His advancements in optimizing compositing calculations have the potential to significantly impact the efficiency of graphical image rendering.
