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DGC-Net: Dense Geometric Correspondence Network
Iaroslav Melekhov, Aleksei Tiulpin, Torsten Sattler +3
This paper addresses the challenge of dense pixel correspondence estimation between two images. This problem is closely related to optical flow estimation task where ConvNets (CNNs…
ADVIO: An authentic dataset for visual-inertial odometry
Santiago Cortés, Arno Solin, Esa Rahtu +1
The lack of realistic and open benchmarking datasets for pedestrian visual-inertial odometry has made it hard to pinpoint differences in published methods. Existing datasets either…
Learning image-to-image translation using paired and unpaired training samples
Soumya Tripathy, Juho Kannala, Esa Rahtu
Image-to-image translation is a general name for a task where an image from one domain is converted to a corresponding image in another domain, given sufficient training data. Trad…