24 citations · 36 across the 3 of their papers we have counts for
11 papers · 1 filter
Computing stable resultant-based minimal solvers by hiding a variable
Snehal Bhayani, Zuzana Kukelova, Janne Heikkilä
Many computer vision applications require robust and efficient estimation of camera geometry. The robust estimation is usually based on solving camera geometry problems from a mini…
Learning non-rigid surface reconstruction from spatio-temporal image patches
Matteo Pedone, Abdelrahman Mostafa, Janne heikkilä
We present a method to reconstruct a dense spatio-temporal depth map of a non-rigidly deformable object directly from a video sequence. The estimation of depth is performed locally…
A sparse resultant based method for efficient minimal solvers
Snehal Bhayani, Zuzana Kukelova, Janne Heikkilä
Many computer vision applications require robust and efficient estimation of camera geometry. The robust estimation is usually based on solving camera geometry problems from a mini…
Improving land cover segmentation across satellites using domain adaptation
Nadir Bengana, Janne Heikkilä
Land use and land cover mapping are essential to various fields of study, including forestry, agriculture, and urban management. Using earth observation satellites both facilitate…
Rethinking the Evaluation of Video Summaries
Mayu Otani, Yuta Nakashima, Esa Rahtu +1
Video summarization is a technique to create a short skim of the original video while preserving the main stories/content. There exists a substantial interest in automatizing this…
Predicting Novel Views Using Generative Adversarial Query Network
Phong Nguyen-Ha, Lam Huynh, Esa Rahtu +1
The problem of predicting a novel view of the scene using an arbitrary number of observations is a challenging problem for computers as well as for humans. This paper introduces th…