This inventor holds 3 USPTO granted patents. Top assignee: Mad Street Den, Inc.. Active years: 2019-2020.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2019-2020
Title: Innovations by Marcus C Colbert
Introduction
Marcus C Colbert is an accomplished inventor based in Emerald Hills, California. He has made significant contributions to the field of image synthesis and tracking technologies. With a total of 3 patents to his name, Colbert's work showcases his innovative approach to solving complex problems in the apparel and imaging industries.
Latest Patents
Colbert's latest patents include groundbreaking systems and methods for synthesizing images of apparel ensembles on models. This technology utilizes neural networks trained with sets of images to create realistic representations of garments on models. The neural network can synthesize new images based on input images, allowing for adjustments in features such as skin tone, body shape, and garment characteristics. Another notable patent focuses on a method for tracking a subject's head position from a monocular-source image sequence. This method analyzes frames from a monocular camera to track head motion, which can be used to control physical actuators or reposition virtual objects in synthesized images.
Career Highlights
Colbert is currently employed at Mad Street Den, Inc., where he continues to develop innovative solutions in the field of image processing and artificial intelligence. His work has garnered attention for its potential applications in various industries, including fashion and entertainment.
Collaborations
Colbert collaborates with Anand Chandrasekaran, leveraging their combined expertise to push the boundaries of technology and innovation.
Conclusion
Marcus C Colbert's contributions to the field of image synthesis and tracking technologies highlight his role as a leading inventor. His innovative patents and ongoing work at Mad Street Den, Inc. demonstrate his commitment to advancing technology in meaningful ways.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile