no code implementations • 15 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.
1 code implementation • 3 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.
no code implementations • 15 Aug 2018 • Xiaotian Li, Juha Ylioinas, Jakob Verbeek, Juho Kannala
Image-based camera relocalization is an important problem in computer vision and robotics.
no code implementations • 9 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.
no code implementations • 23 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.
1 code implementation • 5 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.