20 citations · 57 across the 21 of their papers we have counts for
5 papers · 1 filter
Differential Angular Imaging for Material Recognition
Jia Xue, Hang Zhang, Kristin Dana +1
Material recognition for real-world outdoor surfaces has become increasingly important for computer vision to support its operation "in the wild." Computational surface modeling th…
Material Recognition from Local Appearance in Global Context
Gabriel Schwartz, Ko Nishino
Recognition of materials has proven to be a challenging problem due to the wide variation in appearance within and between categories. Global image context, such as where the mater…
Radiometric Scene Decomposition: Scene Reflectance, Illumination, and Geometry from RGB-D Images
Stephen Lombardi, Ko Nishino
Recovering the radiometric properties of a scene (i.e., the reflectance, illumination, and geometry) is a long-sought ability of computer vision that can provide invaluable informa…
Integrating Local Material Recognition with Large-Scale Perceptual Attribute Discovery
Gabriel Schwartz, Ko Nishino
Material attributes have been shown to provide a discriminative intermediate representation for recognizing materials, especially for the challenging task of recognition from local…
Friction from Reflectance: Deep Reflectance Codes for Predicting Physical Surface Properties from One-Shot In-Field Reflectance
Hang Zhang, Kristin Dana, Ko Nishino
Images are the standard input for vision algorithms, but one-shot infield reflectance measurements are creating new opportunities for recognition and scene understanding. In this w…