D. Krishnasri

Papers

Total Citations

H-Index

About

D. Krishnasri is a researcher whose work lies at the intersection of computer vision and affective computing, with a primary focus on emotion recognition from three-dimensional facial imagery. Her key contributions address a critical challenge in the field: accurately inferring emotional states from non-frontal or pose-variant facial expressions. In her most cited work, "Pose invariant method for emotion recognition from 3D images" (2015, 14 citations), she developed a geometric approach capable of recognizing emotions even when the subject’s face is not directly facing the camera—a significant advancement for real-world applications like Human-Robot Interaction (HRI), intelligent vehicles, and medical diagnostics. Her follow-up study, "Emotion Recognition from 3D Images with Non-Frontal View Using Geometric Approach" (2015, 6 citations), further refined these methods, demonstrating robustness across varied head poses. By leveraging 3D geometric features rather than relying solely on 2D texture, Krishnasri’s work helps bridge the gap between controlled laboratory conditions and dynamic, unconstrained environments. Though her citation counts are modest, her research addresses a fundamental bottleneck in affective computing, laying groundwork for more natural and intuitive human-machine interfaces.