José Buenaposada is a computer vision professor and researcher with over two decades of experience specializing in automatic face analysis from video, including face tracking, expression and gender recognition. Based at Universidad Rey Juan Carlos, he has progressed from PhD researcher to Catedrático de Universidad while directing a master's program in computer vision and completing visiting research stints at Carnegie Mellon and IST. He routinely prototypes in Python and C++ with OpenCV and has translated theoretical work—such as depth-from-single-image and face optical-flow models—into practical implementations. Driven to move research into products, he blends deep academic rigor with hands-on software craftsmanship and a long track record of international collaboration.
13 years of coding experience
7 years of employment as a software developer
High School, High School at Colegio los Trinitarios
PhD in Computer Science, Computer Vision, PhD in Computer Science, Computer Vision at Universidad Politécnica de Madrid
This repository contains the source code of BEBLID: Boosted Efficient Binary Local Image Descriptor
Contributions:4 commits, 2 pushes, 5 comments in 2 years 2 months
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