45 citations · 51 across the 4 of their papers we have counts for
8 papers
PIVOT: Perception-aware Independent Viewpoint Online Optimization
Yuyang Chen, Shekoufeh Sadeghi, Charuvahan Adhivarahan +4
A fundamental assumption in robotic perception is that the sensor's field of view (FoV) is fixed relative to the robot body. Motion-decoupled sensors, such as gimbal-mounted camera…
Schrödinger's Camera: First Steps Towards a Quantum-Based Privacy Preserving Camera
Hannah Kirkland, Sanjeev J. Koppal
Privacy-preserving vision must overcome the dual challenge of utility and privacy. Too much anonymity renders the images useless, but too little privacy does not protect sensitive…
Design of an Adaptive Lightweight LiDAR to Decouple Robot-Camera Geometry
Yuyang Chen, Dingkang Wang, Lenworth Thomas +2
A fundamental challenge in robot perception is the coupling of the sensor pose and robot pose. This has led to research in active vision where robot pose is changed to reorient the…
SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing
Brevin Tilmon, Sanjeev J. Koppal
Most monocular depth sensing methods use conventionally captured images that are created without considering scene content. In contrast, animal eyes have fast mechanical motions, c…
The Security-Utility Trade-off for Iris Authentication and Eye Animation for Social Virtual Avatars
Brendan John, Sophie Jörg, Sanjeev Koppal +1
The gaze behavior of virtual avatars is critical to social presence and perceived eye contact during social interactions in Virtual Reality. Virtual Reality headsets are being desi…
Towards a MEMS-based Adaptive LIDAR
Francesco Pittaluga, Zaid Tasneem, Justin Folden +3
We present a proof-of-concept LIDAR design that allows adaptive real-time measurements according to dynamically specified measurement patterns. We describe our optical setup and ca…
Revealing Scenes by Inverting Structure from Motion Reconstructions
Francesco Pittaluga, Sanjeev J. Koppal, Sing Bing Kang +1
Many 3D vision systems localize cameras within a scene using 3D point clouds. Such point clouds are often obtained using structure from motion (SfM), after which the images are dis…
Learning Privacy Preserving Encodings through Adversarial Training
Francesco Pittaluga, Sanjeev J. Koppal, Ayan Chakrabarti
We present a framework to learn privacy-preserving encodings of images that inhibit inference of chosen private attributes, while allowing recovery of other desirable information.…