Alexandre Meyer

Papers

Total Citations

175

H-Index

About

Alexandre Meyer’s research lies at the intersection of computer vision, affective computing, and computer animation, with a focus on enabling machines to perceive and generate human expression. His most influential work, “Framework for reliable, real-time facial expression recognition for low resolution images” (143 citations), addresses a critical challenge in deploying emotion recognition in uncontrolled, real-world settings—such as surveillance or mobile applications—where image quality is often poor. By developing robust algorithms for low-resolution inputs, Meyer’s framework has provided a practical foundation for subsequent work in accessible, real-time affective computing. More recently, his comprehensive survey “Emotion Expression in Human Body Posture and Movement” (2022) systematically reviews the intelligible motion factors that convey emotion through the body, offering a valuable taxonomy for researchers in robotics, animation, and psychology. In computer animation, Meyer has also contributed procedural techniques for generating lifelike locomotion in multilegged characters, demonstrating a versatile ability to synthesize expressive movement from scratch. Through these contributions, Meyer has advanced both the analysis and synthesis of human expression, bridging the gap between high-fidelity research and real-world applicability.