Rate My Professor Bruce Draper

Draper's research specializes in computer vision and machine learning. Early work focused on outdoor color image analysis and computational models of human vision, including collaborations with NIST on face recognition evaluation and student David Bolme on visual object tracking. His team advanced FPGA mapping for image processing with Wim Bohm and Walid Najjar, and video action recognition with Trevor Darrell and Chris Geyer. Recent projects encompass DARPA's Communicating with Computers program (2015-2019), developing real-time visual emotion, gesture, and pose recognition for avatar-based non-linguistic human-AI interaction; DARPA Mind’s Eye action recognition (2012); and ARPA-H VIGIL for upskilling rural medical technicians via augmented reality (2025). Key publications include "Knowledge-Directed Vision: Control, Learning and Integration" (Proceedings of the IEEE, 1996), "Recognizing Faces with PCA and ICA" (Computer Vision and Image Understanding, 2003), "The Schema System" (International Journal of Computer Vision, 1989), and "Gesture Recognition: Focus on the Hands" (CVPR, 2018). Garnering over 14,700 citations on Google Scholar, his contributions have profoundly impacted face recognition standards, object tracking, and human-AI interfaces. Draper has chaired the IAPR Technical Committee on Computer Vision (2002-2004), served as General Co-chair of CVPR 1999, and contributed to program committees for CVPR, ECCV, ICML, and others.