This paper presents a robust end-to-end method for sports cameras extrinsic parameters optimization using a novel evolution strategy.
The paper presents a multi-camera tracking method intended for tracking soccer players in long shot video recordings from multiple calibrated cameras installed around the playing field.
The paper presents a simple and effective learning-based method for computing a discriminative 3D point cloud descriptor for place recognition purposes.
The 3D LiDAR place recognition aims to estimate a coarse localization in a previously seen environment based on a single scan from a rotating 3D LiDAR sensor.
The paper presents a deep neural network-based method for global and local descriptors extraction from a point cloud acquired by a rotating 3D LiDAR.
In this work, we propose a method for large-scale topological localization based on radar scan images using learned descriptors.
We also identify dominating modality problem when training a multimodal descriptor.
Thus, state-of-the-art methods enhance vanilla PointNet architecture by adding different mechanism to capture local contextual information, such as graph convolutional networks or using hand-crafted features.
In this paper, we present a framework for computing dense keypoint correspondences between images under strong scene appearance changes.
The paper describes a deep neural network-based detector dedicated for ball and players detection in high resolution, long shot, video recordings of soccer matches.
In the recent years, a number of novel, deep-learning based, interest point detectors, such as LIFT, DELF, Superpoint or LF-Net was proposed.
Numerous computer vision applications rely on local feature descriptors, such as SIFT, SURF or FREAK, for image matching.
This paper presents a method for extrinsic camera calibration (estimation of camera rotation and translation matrices) from a sequence of images.
In this paper we present an efficient method for aggregating binary feature descriptors to allow compact representation of 3D scene model in incremental structure-from-motion and SLAM applications.