VASC Seminar
Qitao Zhao
Master's Student
Computer Vision, Carnegie Mellon University

Sparse-view Pose Estimation and Reconstruction via Analysis by Generative Synthesis

3305 Newell-Simon Hall

Abstract:  This talk will present our approach for reconstructing objects from sparse-view images captured in unconstrained environments. In the absence of ground-truth camera poses, we will demonstrate how to utilize estimates from off-the-shelf systems and address two key challenges: refining noisy camera poses in sparse views and effectively handling outlier poses.   Bio:  Qitao is a second-year [...]

VASC Seminar
Vimal Mollyn
PhD Student
Human Computer Interaction Institute, Carnegie Mellon University

EgoTouch: On-Body Touch Input Using AR/VR Headset Cameras

3305 Newell-Simon Hall

Abstract:  In augmented and virtual reality (AR/VR) experiences, a user’s arms and hands can provide a convenient and tactile surface for touch input. Prior work has shown on-body input to have significant speed, accuracy, and ergonomic benefits over in-air interfaces, which are common today. In this work, we demonstrate high accuracy, bare hands (i.e., no special [...]

VASC Seminar
Hyunsung Cho
Ph.D. Student
Human-Computer Interaction Institute (HCII) , Carnegie Mellon University

Auptimize: Optimal Placement of Spatial Audio Cues for Extended Reality

3305 Newell-Simon Hall

Abstract:  Spatial audio in Extended Reality (XR) provides users with better awareness of where virtual elements are placed, and efficiently guides them to events such as notifications, system alerts from different windows, or approaching avatars. Humans, however, are inaccurate in localizing sound cues, especially with multiple sources due to limitations in human auditory perception such as [...]