activity
20162022
most citedGeometry-Informed Material Recognition

56 citations · 56 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Optimizing Fiducial Marker Placement for Improved Visual Localization

Qiangqiang Huang, Joseph DeGol, Victor Fragoso +2

Adding fiducial markers to a scene is a well-known strategy for making visual localization algorithms more robust. Traditionally, these marker locations are selected by humans who…

cs.CV2021

PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility

Jae Yong Lee, Joseph DeGol, Chuhang Zou +1

Recent learning-based multi-view stereo (MVS) methods show excellent performance with dense cameras and small depth ranges. However, non-learning based approaches still outperform…

cs.CV2020

gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors

Victor Fragoso, Joseph DeGol, Gang Hua

Many real-world applications in augmented reality (AR), 3D mapping, and robotics require both fast and accurate estimation of camera poses and scales from multiple images captured…

cs.CV2017

ChromaTag: A Colored Marker and Fast Detection Algorithm

Joseph DeGol, Timothy Bretl, Derek Hoiem

Current fiducial marker detection algorithms rely on marker IDs for false positive rejection. Time is wasted on potential detections that will eventually be rejected as false posit…

cs.CV2016★ 56 cited

Geometry-Informed Material Recognition

Joseph DeGol, Mani Golparvar-Fard, Derek Hoiem

Our goal is to recognize material categories using images and geometry information. In many applications, such as construction management, coarse geometry information is available.…