research
∙
11/02/2022
Optimizing Fiducial Marker Placement for Improved Visual Localization
Adding fiducial markers to a scene is a well-known strategy for making v...
share
research
∙
11/27/2020
Efficient Scene Compression for Visual-based Localization
Estimating the pose of a camera with respect to a 3D reconstruction or s...
research
∙
11/27/2020
Generalized Pose-and-Scale Estimation using 4-Point Congruence Constraints
We present gP4Pc, a new method for computing the absolute pose of a gene...
research
∙
05/21/2020
HyperSTAR: Task-Aware Hyperparameters for Deep Networks
While deep neural networks excel in solving visual recognition tasks, th...
research
∙
04/05/2020
gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors
Many real-world applications in augmented reality (AR), 3D mapping, and ...
research
∙
11/29/2017
Do Convolutional Neural Networks act as Compositional Nearest Neighbors?
We present a simple approach based on pixel-wise nearest neighbors to un...
research
∙
10/04/2017
GraphMatch: Efficient Large-Scale Graph Construction for Structure from Motion
We present GraphMatch, an approximate yet efficient method for building ...
research
∙
09/27/2017
ANSAC: Adaptive Non-minimal Sample and Consensus
While RANSAC-based methods are robust to incorrect image correspondences...
research
∙
08/02/2016
One-Class Slab Support Vector Machine
This work introduces the one-class slab SVM (OCSSVM), a one-class classi...
research
∙
07/13/2016
Large Scale SfM with the Distributed Camera Model
We introduce the distributed camera model, a novel model for Structure-f...
research
∙
02/07/2016
