Filter-Based Reconstruction of Images from Events
FIBAR is an algorithm to reconstruct brightness images from event camera events.
Professional Summary
I am an independent researcher and consultant for computer vision and robotics. My particular interests are in event based cameras and autonomous systems.
Education
PhD Physics
UC Berkeley
MS Computer Science
UC Berkeley
Diploma Physics
Universitaet Stuttgart
Interests
Event Cameras
Computer Vision
Autonomous Systems
Machine Learning
Featured Publications
Frequency Cam: Imaging Periodic Signals in Real-Time
FrequencyCam is a software package to measure and visualize the frequency of flickering images with an event based camera.
3D Bird Reconstruction: a Dataset, Model, and Shape Recovery from a Single View
Dataset and Pipeline for avian pose recovery from a single view.
TagSLAM: Robust SLAM with Fiducial Markers
TagSLAM provides a convenient, flexible, and robust way of performing Simultaneous Localization and Mapping (SLAM) with AprilTag fiducial markers.
Temperature-Dependent Hydrogen-Bond Geometry in Liquid Water
We have determined the hydrogen-bond geometry in liquid water from 0 to 80C by combining measurements of the proton magnetic shielding tensor with ab initio density functional …
Recent Publications
Filter-Based Reconstruction of Images from Events
FIBAR is an algorithm to reconstruct brightness images from event camera events.
Transmission-Based Vertebrae Strength Probe Development: Far Field Probe Property Extraction and Integrated Machine Vision Distance Validation Experiments
Development of a microwave transmission based probe for vertebrae strength.
Frequency Cam: Imaging Periodic Signals in Real-Time
FrequencyCam is a software package to measure and visualize the frequency of flickering images with an event based camera.
3D Bird Reconstruction: a Dataset, Model, and Shape Recovery from a Single View
Dataset and Pipeline for avian pose recovery from a single view.
TagSLAM: Robust SLAM with Fiducial Markers
TagSLAM provides a convenient, flexible, and robust way of performing Simultaneous Localization and Mapping (SLAM) with AprilTag fiducial markers.