Search Results for author: Juha Ylioinas

Found 6 papers, 2 papers with code

CubiCasa5K: A Dataset and an Improved Multi-Task Model for Floorplan Image Analysis

1 code implementation3 Apr 2019 Ahti Kalervo, Juha Ylioinas, Markus Häikiö, Antti Karhu, Juho Kannala

Better understanding and modelling of building interiors and the emergence of more impressive AR/VR technology has brought up the need for automatic parsing of floorplan images.

Relative Camera Pose Estimation Using Convolutional Neural Networks

1 code implementation5 Feb 2017 Iaroslav Melekhov, Juha Ylioinas, Juho Kannala, Esa Rahtu

This paper presents a convolutional neural network based approach for estimating the relative pose between two cameras.

General Classification Pose Estimation +2

Full-Frame Scene Coordinate Regression for Image-Based Localization

no code implementations9 Feb 2018 Xiaotian Li, Juha Ylioinas, Juho Kannala

In this paper, instead of in a patch-based manner, we propose to perform the scene coordinate regression in a full-frame manner to make the computation efficient at test time and, more importantly, to add more global context to the regression process to improve the robustness.

Camera Relocalization Data Augmentation +2

Image-based Localization using Hourglass Networks

no code implementations23 Mar 2017 Iaroslav Melekhov, Juha Ylioinas, Juho Kannala, Esa Rahtu

In this paper, we propose an encoder-decoder convolutional neural network (CNN) architecture for estimating camera pose (orientation and location) from a single RGB-image.

General Classification Image-Based Localization +1

Geometric Image Correspondence Verification by Dense Pixel Matching

no code implementations15 Apr 2019 Zakaria Laskar, Iaroslav Melekhov, Hamed R. -Tavakoli, Juha Ylioinas, Juho Kannala

The main contribution is a geometric correspondence verification approach for re-ranking a shortlist of retrieved database images based on their dense pair-wise matching with the query image at a pixel level.

Image Retrieval Re-Ranking +2

Cannot find the paper you are looking for? You can Submit a new open access paper.