18 citations · 37 across the 10 of their papers we have counts for
9 papers · 1 filter
Improving Underwater Visual Tracking With a Large Scale Dataset and Image Enhancement
Basit Alawode, Fayaz Ali Dharejo, Mehnaz Ummar +6
This paper presents a new dataset and general tracker enhancement method for Underwater Visual Object Tracking (UVOT). Despite its significance, underwater tracking has remained un…
Tracking by 3D Model Estimation of Unknown Objects in Videos
Denys Rozumnyi, Jiri Matas, Marc Pollefeys +2
Most model-free visual object tracking methods formulate the tracking task as object location estimation given by a 2D segmentation or a bounding box in each video frame. We argue…
BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects
Martin Sundermeyer, Tomas Hodan, Yann Labbe +5
We present the evaluation methodology, datasets and results of the BOP Challenge 2022, the fourth in a series of public competitions organized with the goal to capture the status q…
A Large Scale Homography Benchmark
Daniel Barath, Dmytro Mishkin, Michal Polic +2
We present a large-scale dataset of Planes in 3D, Pi3D, of roughly 1000 planes observed in 10 000 images from the 1DSfM dataset, and HEB, a large-scale homography estimation benchm…
Planar Object Tracking via Weighted Optical Flow
Jonas Serych, Jiri Matas
We propose WOFT -- a novel method for planar object tracking that estimates a full 8 degrees-of-freedom pose, i.e. the homography w.r.t. a reference view. The method uses a novel m…
Matching with AffNet based rectifications
Václav Vávra, Dmytro Mishkin, Jiří Matas
We consider the problem of two-view matching under significant viewpoint changes with view synthesis. We propose two novel methods, minimizing the view synthesis overhead. The firs…