5 papers
Refractive Light-Field Features for Curved Transparent Objects in Structure from Motion
Dorian Tsai, Peter Corke, Thierry Peynot +1
Curved refractive objects are common in the human environment, and have a complex visual appearance that can cause robotic vision algorithms to fail. Light-field cameras allow us t…
Unsupervised Learning of Depth Estimation and Visual Odometry for Sparse Light Field Cameras
S. Tejaswi Digumarti, Joseph Daniel, Ahalya Ravendran +1
While an exciting diversity of new imaging devices is emerging that could dramatically improve robotic perception, the challenges of calibrating and interpreting these cameras have…
Multiplexed Illumination for Classifying Visually Similar Objects
Taihua Wang, Donald G. Dansereau
Distinguishing visually similar objects like forged/authentic bills and healthy/unhealthy plants is beyond the capabilities of even the most sophisticated classifiers. We propose t…
LiFF: Light Field Features in Scale and Depth
Donald G. Dansereau, Bernd Girod, Gordon Wetzstein
Feature detectors and descriptors are key low-level vision tools that many higher-level tasks build on. Unfortunately these fail in the presence of challenging light transport effe…
Distinguishing Refracted Features using Light Field Cameras with Application to Structure from Motion
Dorian Tsai, Donald G Dansereau, Thierry Peynot +1
Robots must reliably interact with refractive objects in many applications; however, refractive objects can cause many robotic vision algorithms to become unreliable or even fail,…