Heinz Mayer

Papers

Total Citations

H-Index

About

Heinz Mayer is a researcher whose work sits at the intersection of human-robot interaction, computer vision, and 3D perception. His primary research areas include human attention modeling, gaze estimation, and sensor-based mapping for autonomous systems. Mayer’s major contributions lie in developing methods to recover and interpret human visual attention in natural and 3D environments, enabling robots to better understand and cooperate with human partners. His most cited work, "Visual recovery of saliency maps from human attention in 3D environments" (12 citations), proposes techniques for estimating where people focus their attention, a critical capability for shared workspaces. He also advanced indoor SLAM by introducing an omnidirectional Time-of-Flight camera (8 citations), overcoming the limited field-of-view that previously constrained depth-based robot navigation. His research on "3D recovery of human gaze in natural environments" (3 citations) further explores how wearable devices like Google Glass can be leveraged for joint attention. Though his citation counts are modest, Mayer’s work is notable for its early integration of human attention cues into robotic perception, laying groundwork for more intuitive human-robot collaboration.