163 citations · 171 across the 8 of their papers we have counts for
11 papers · 1 filter
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…
Efficient Scene Compression for Visual-based Localization
Marcela Mera-Trujillo, Benjamin Smith, Victor Fragoso
Estimating the pose of a camera with respect to a 3D reconstruction or scene representation is a crucial step for many mixed reality and robotics applications. Given the vast amoun…
Generalized Pose-and-Scale Estimation using 4-Point Congruence Constraints
Victor Fragoso, Sudipta Sinha
We present gP4Pc, a new method for computing the absolute pose of a generalized camera with unknown internal scale from four corresponding 3D point-and-ray pairs. Unlike most pose-…
HyperSTAR: Task-Aware Hyperparameters for Deep Networks
Gaurav Mittal, Chang Liu, Nikolaos Karianakis +3
While deep neural networks excel in solving visual recognition tasks, they require significant effort to find hyperparameters that make them work optimally. Hyperparameter Optimiza…
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…
Patch Correspondences for Interpreting Pixel-level CNNs
Victor Fragoso, Chunhui Liu, Aayush Bansal +1
We present compositional nearest neighbors (CompNN), a simple approach to visually interpreting distributed representations learned by a convolutional neural network (CNN) for pixe…
GraphMatch: Efficient Large-Scale Graph Construction for Structure from Motion
Qiaodong Cui, Victor Fragoso, Chris Sweeney +1
We present GraphMatch, an approximate yet efficient method for building the matching graph for large-scale structure-from-motion (SfM) pipelines. Unlike modern SfM pipelines that u…
ANSAC: Adaptive Non-minimal Sample and Consensus
Victor Fragoso, Chris Sweeney, Pradeep Sen +1
While RANSAC-based methods are robust to incorrect image correspondences (outliers), their hypothesis generators are not robust to correct image correspondences (inliers) with posi…
One-Class Slab Support Vector Machine
Victor Fragoso, Walter Scheirer, Joao Hespanha +1
This work introduces the one-class slab SVM (OCSSVM), a one-class classifier that aims at improving the performance of the one-class SVM. The proposed strategy reduces the false po…
Large Scale SfM with the Distributed Camera Model
Chris Sweeney, Victor Fragoso, Tobias Hollerer +1
We introduce the distributed camera model, a novel model for Structure-from-Motion (SfM). This model describes image observations in terms of light rays with ray origins and direct…
Eye-CU: Sleep Pose Classification for Healthcare using Multimodal Multiview Data
Carlos Torres, Victor Fragoso, Scott D. Hammond +2
Manual analysis of body poses of bed-ridden patients requires staff to continuously track and record patient poses. Two limitations in the dissemination of pose-related therapies a…